Data Engineer Salary in Atlanta, GA

The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.Applicants must be legally authorized to work in the United States. Sponsorship not available.Our client is seeking a Big Data Engineer (Databricks admin) in Atlanta, GA.Role DescriptionResponsibilities will include designing, implementing, maintaining databricks platform, and providing operational support. Operational support responsibilities include platform set up and configuration, workspace administration, resource monitoring, provide technical support to data engineering, Data Science/ML, Application/integration teams, performing restores/recoveries, troubleshooting service issues, determining the root causes of issues, and resolving issues. The position will also involve management of security and changes.The position will work closely with the Team Lead, other Databricks Administrators, System Administrators, and Data Engineers/Scientists/Architects/Modelers/Analysts. This position will involve participation in on-call rotation for 24/7 support.Location:This position reports to the Client Corporation's HQ building in Midtown Atlanta with easy access to MARTA Train & Bus Service and the interstate.• Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.• Collaborate with data engineering team to ingest, transform, and orchestrate data.• Manage privileges over the entire Databricks account, as well as at workspace level, Unity Catalog level and SQL warehouse level.• Create workspaces, configure cloud resources, view usage data, and manage account identities, settings, and subscriptions.• Install, configure, and maintain Databricks clusters and workspaces.• Maintain Platform currency with security, compliance, and patching best practices.• Monitor and manage cluster performance, resource utilization, platform costs, and troubleshoot issues to ensure optimal performance.• Implement and manage access controls and security policies to protect sensitive data.• Manage schema data with Unity Catalog - create, configure, catalog, external storage, and access permissions.• Administer interfaces with Azure AD and Amazon AWS.• Hadoop admin skills are preferred• Knowledge about Apache Kafka is desirableSkills & RequirementsEducation:4-yr College Degree preferably in Information Systems, Computer Science, Engineering, or related field.Required:• 3+ years of production support of Databricks platformPreferred:• 2+ years AWS/Azure PaaS• 2+ years of automation framework such as Terraform• 2+ years of Hadoop administration (Cloudera/Hortonworks)• 2+ years of Apache Kafka streaming platform administrationBenefits/Other CompensationThis position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).Why Hays?You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it. Nervous about an upcoming interview? Unsure how to write a new resume?Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting. Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing'. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.Drug testing may be required; please contact a recruiter for more information.#LI-DNI #1160830 - Ksenia Salgado

Location: REMOTESalary: $100,000.00 USD Annually - $120,000.00 USD AnnuallyDescription: Our client is currently seeking a Data Engineer (Tableau)The Data Engineer you will be responsible for driving and navigating the analytics product life cycle. The ideal candidate will lead in expanding our analytics products while optimizing our data architecture, and developing best practices and governance for administrative reporting, data visualization, and data flow for cross-functional teams.You will support various stakeholders and ensure consistent optimal product delivery throughout ongoing projects. You will also support non-technical colleagues in collecting and appropriately using administrative data. We would like an individual that is excited about re-designing CHOP's data architecture to support our next generation of products and data initiatives.If interested in applying or more information email [email protected] This job will have the following responsibilities:Conduct data modeling by evaluating structured and unstructured data and determining the most appropriate schema for new fact tables, data marts, etc. Collaborate with teams across the enterprise to scope requests, extract data from various data sources, validate results, create relevant data visualizations, and share with the requester in Tableau. Create dashboards and automate refreshes as appropriate in Tableau Server. Adhere to and contribute to data governance standards and educate and support colleagues in best practices to ensure that data is used appropriately. Collaborate and act as the voice of the customer to offer concrete feedback and project requests as well as an advocate for analytics from within the business units themselves. Assemble large, complex data sets that meet functional/non-functional business requirements. Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.Construct the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources (including ground, hybrid cloud, and cloud) using SQL and various programming technologies. Develop analytics tools that utilize data resources to provide actionable insights, operational efficiency, and other key business performance metrics. Work with stakeholders including the Executive, Administrative, and Analyst teams to assist with data-related technical issues and support their data infrastructure needs. Qualifications & Requirements: 5 years of experience in Data Engineering, Business Intelligence, or Data Warehousing Healthcare consulting experience is a plusBachelor's degree in computer/Analytics/Data Science related field. Proficiency in appropriate Business Intelligence/Data Warehousing technology or subject domain. 3-6 years of Business Intelligence/Data Warehousing experience, preferably in a healthcare & research environment. Preferred Qualifications: Tableau certification and a strong portfolio on Tableau Public Experience with other data visualization tools like Power BI, QlikView, or Domo Knowledge of ETL processes and tools such as Informatica or Talend Contact: [email protected] job and many more are available through The Judge Group. Find us on the web at www.judge.com

What you'll do atPosition Summary...What you'll do...You have a deep interest and passion for technology. You have a passion to drive critical business initiatives with Data. You love writing and owning codes and enjoy working with people who will keep challenging you at every stage. You have strong problem solving, analytic, decision- making and excellent communication with interpersonal skills. You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities.About Team: Sam's Club is our membership warehouse club, a business model that provides our members with high-quality products at prices that are unrivaled by traditional retail. Sam's Club provides a carefully curated assortment of items, as well as developing and leading technologies and services such as Scan & Go, Club Pickup, and home delivery service in select markets. Sam's Club also provides travel, auto purchasing, pharmacy, optical, hearing aid centers, tire and battery centers, and a portfolio of business operations support services.What you'll do:Design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide drive value from dataInteract with Sams Club engineering teams across geographies to leverage expertise and contribute to the tech community.Engage with Product Management and Business to drive the agenda, set your priorities and deliver awesome product features to keep platform ahead of market scenarios.Identify right open source tools to deliver product features by performing research, POC/Pilot and/or interacting with various open source forumsDevelop and/or Contribute to add features that enable adoption of data across Sams ClubDeploy and monitor products on Cloud platformsDevelop and implement best-in-class monitoring processes to enable data applications meet SLAsGuide the team technically for end to end solution Lifecycle.What you'll bring:2 - 3 years of Big data development experience1 - 2 Years of Experience in GCP/Azure cloud platformsDemonstrates up-to-date expertise in Data Engineering, complex data pipeline developmentArchitect, Design, develop, implement and tune distributed data processing pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.Exposure to Data Governance ( Data Quality, Metadata Management, Security, etc.) Experience with Java, Scala and/or Python to write data pipelines and data processing layersDemonstrates expertise in writing complex, highly-optimized queries across large data setsProven working expertise with Big Data Technologies Spark Scala/PySpark, and SQLKnowledge and experience in Kafka, Spark Streaming, Druid and Presto.About Sam's ClubSam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 clubs internationally. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners. Sam's Club employs about 110,000 associates in the U.S. The average club is 134,000 square feet and offers bulk groceries and general merchandise. Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.Flexible, hybrid work:We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer:Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in Computer Science and 2 years' experience in software engineering or related field. Option 2: 4 years' experience insoftware engineering or related field. Option 3: Master's degree in Computer Science.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data engineering, database engineering, business intelligence, or business analytics, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related fieldPrimary Location...756 W Peachtree St Nw,, Atlanta, GA 30308, United States of America About Sam's ClubSam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 clubs internationally. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners. Sam's Club employs about 110,000 associates in the U.S. The average club is 134,000 square feet and offers bulk groceries and general merchandise. Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.Sam's Club is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people."At Walmart, we get the opportunity to grow professionally and personally-all while improving how we work and what we deliver to consumers." - Lola, Project AnalystAll the benefits you need for you and your family Multiple health plan options, including vision & dental plans for you & dependents Free Membership and discounts in fresh produce Financial benefits including 401(k), stock purchase plans, life insurance and more Paid education assistance with college degrees through our Live Better U program Parental Leave Pay during military service Paid time off - to include vacation, sick leave and parental leave Short-term and long-term disability for when you can't work because of injury, illness, or childbirth Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com/Benefits.Frequently asked questions On average, how long does it take to fill out an application?On average, it takes 20-30 minutes to complete your application for the first time. Subsequent applications will take less time to apply as our system saves some of your application information. Please note that some positions require the completion of assessments in order to receive consideration for that role. Those would take additional time. Can I change my application after submitting?No, you cannot change your application after submitting, so please make sure that everything is finalized before you hit the submit button. How do you protect my personal information?Processing of information on paper is minimal, and Walmart processes application information using an applicant tracking system (ATS). Access to the data within the ATS is restricted to authorized personnel, and the system itself is held to high security standards by Walmart. What are the recommended Internet Browsers for applying for open roles?Internet Explorer 8.0+Firefox 4.0+Safari 4.0+Chrome 12+

Our PurposeWe work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.Title and SummarySenior Data EngineerOverview Interested in building the next generation platform that handles petabytes of data and powers data insight creation using cutting edge data science technology? Excited about using Big Data, AI/Machine Learning and Data Analytics to deliver actionable insights? We are a dynamic team of top-notch engineers who are committed to make a dent in the FinTech universe. We are growing rapidly in Vancouver, beautiful British Columbia, and if you wish to be part of this Priceless experience, read below.The Marketing Services (MS) Technology team is looking for a Senior Data Engineer who is passionate about data and analytics, highly motivated and can take technical ownership of data solutions with an emphasis on engineering efficiency and on-time delivery. The ideal candidate is exposed to the fast-paced world of Big Data technology and has experience in building data solutions using new and emerging technologies while maintaining stability of the platform. The person will get a chance to work with diverse datasets and be on the cutting edge of transforming the way Mastercard captures, processes, stores and visualizes data. Role In this role, you will: * Design & Develop batch and streaming solutions using various Big Data technologies* Work closely with architect to design secure and scalable * Be responsible for assessing technologies and approaches for ingestion, transformation and storage* Develop software utilizing open source technologies to interface with distributed and relational data sources* Work closely with team members from across Mastercard to identify functional and system requirements All About you The ideal candidate for this position should: * Hand on experience of working with Big Data / Analytics technologies like Hadoop, Spark, * Python, Scala.* Have experience working with real-time or near real-time ingestion* Have strong programming knowledge in Java, Scala or Python.* Be skilled at explaining technical problems succinctly and clearly.* Strong aptitude for problem solving.* Proven track record of delivering software projects and willingness to roll up sleeves to get the job done,* Have excellent oral and written communication* Be familiar with Agile/Scrum methodologies* Have demonstrated ability to adapt to new technologies and learn quickly* Have the ability to manage multiple priorities simultaneously* Have a BS/BA degree in Computer Science, Information Systems or related field#LI-TE1In the US, Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. If you require accommodations or assistance to complete the online application process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.Corporate Security ResponsibilityAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:Abide by Mastercard's security policies and practices;Ensure the confidentiality and integrity of the information being accessed;Report any suspected information security violation or breach, andComplete all periodic mandatory security trainings in accordance with Mastercard's guidelines.In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.Our PurposeWe work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.Title and SummarySenior Data EngineerOverview Interested in building the next generation platform that handles petabytes of data and powers data insight creation using cutting edge data science technology? Excited about using Big Data, AI/Machine Learning and Data Analytics to deliver actionable insights? We are a dynamic team of top-notch engineers who are committed to make a dent in the FinTech universe. We are growing rapidly in Vancouver, beautiful British Columbia, and if you wish to be part of this Priceless experience, read below.The Marketing Services (MS) Technology team is looking for a Senior Data Engineer who is passionate about data and analytics, highly motivated and can take technical ownership of data solutions with an emphasis on engineering efficiency and on-time delivery. The ideal candidate is exposed to the fast-paced world of Big Data technology and has experience in building data solutions using new and emerging technologies while maintaining stability of the platform. The person will get a chance to work with diverse datasets and be on the cutting edge of transforming the way Mastercard captures, processes, stores and visualizes data. Role In this role, you will: * Design & Develop batch and streaming solutions using various Big Data technologies* Work closely with architect to design secure and scalable * Be responsible for assessing technologies and approaches for ingestion, transformation and storage* Develop software utilizing open source technologies to interface with distributed and relational data sources* Work closely with team members from across Mastercard to identify functional and system requirements All About you The ideal candidate for this position should: * Hand on experience of working with Big Data / Analytics technologies like Hadoop, Spark, * Python, Scala.* Have experience working with real-time or near real-time ingestion* Have strong programming knowledge in Java, Scala or Python.* Be skilled at explaining technical problems succinctly and clearly.* Strong aptitude for problem solving.* Proven track record of delivering software projects and willingness to roll up sleeves to get the job done,* Have excellent oral and written communication* Be familiar with Agile/Scrum methodologies* Have demonstrated ability to adapt to new technologies and learn quickly* Have the ability to manage multiple priorities simultaneously* Have a BS/BA degree in Computer Science, Information Systems or related field#LI-TE1In the US, Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. If you require accommodations or assistance to complete the online application process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.Corporate Security ResponsibilityAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:Abide by Mastercard's security policies and practices;Ensure the confidentiality and integrity of the information being accessed;Report any suspected information security violation or breach, andComplete all periodic mandatory security trainings in accordance with Mastercard's guidelines.In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.PDN-9bba8b86-5824-40b9-ae90-a0c432cbde3e

Our PurposeWe work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.Title and SummaryLead Data Engineer - Marketing ServicesOverviewInterested in building the next generation platform that handles petabytes of data and powers data insight creation using cutting edge data science technology? Excited about using Big Data, AI/Machine Learning and Data Analytics to deliver actionable insights? We are a dynamic team of top-notch engineers who are committed to make a dent in the FinTech universe. The Marketing Services (MS) Technology team is looking for a Lead Data Engineer who is passionate about data and analytics, highly motivated and can take technical ownership of data solutions with an emphasis on engineering efficiency and on-time delivery. The ideal candidate is exposed to the fast-paced world of Big Data technology and has experience in building data solutions using new and emerging technologies while maintaining stability of the platform. The person will get a chance to work with diverse datasets and be on the cutting edge of transforming the way Mastercard captures, processes, stores and visualizes data. Role In this role, you will: * Provide technical leadership and expertise for architecting new platform capabilities* Design & Develop batch and streaming solutions using various Big Data technologies* Be responsible for assessing technologies and approaches for ingestion, transformation and storage* Develop software utilizing open source technologies to interface with distributed and relational data sources* Work closely with team members from across Mastercard to identify functional and system requirements* Understand complex application data flows and bridge the gap between technical and business requirements All About you The ideal candidate for this position should:* Have hands-on knowledge of Spark (Scala preferred), Hadoop, Kafka, and Py-spark.* Be skilled at architecting large and complex data pipelines.* Have experience working with real-time or near real-time ingestion* Provide technical thought leadership and expertise for architecting new platform capabilities* Have strong programming knowledge in Java, Scala or Python.* Hands-on experience in building secure REST APIs * Outstanding communicator with both business and technology audiences * Be familiar with Agile/Scrum methodologies* Have demonstrated ability to adapt to new technologies and learn quickly* Have the ability to manage multiple priorities simultaneously* Be a strong, confident, and able to communicate solution and Architecture effectively to a wide variety of stakeholders* Have the ability to influence and partner with teams outside of the engineering organization* Have experience in building high performing data teams* Have a BS/BA degree in Computer Science, Information Systems or related field#LI-TE1In the US, Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. If you require accommodations or assistance to complete the online application process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.Corporate Security ResponsibilityAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:Abide by Mastercard's security policies and practices;Ensure the confidentiality and integrity of the information being accessed;Report any suspected information security violation or breach, andComplete all periodic mandatory security trainings in accordance with Mastercard's guidelines.In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.Our PurposeWe work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.Title and SummaryLead Data Engineer - Marketing ServicesOverviewInterested in building the next generation platform that handles petabytes of data and powers data insight creation using cutting edge data science technology? Excited about using Big Data, AI/Machine Learning and Data Analytics to deliver actionable insights? We are a dynamic team of top-notch engineers who are committed to make a dent in the FinTech universe. The Marketing Services (MS) Technology team is looking for a Lead Data Engineer who is passionate about data and analytics, highly motivated and can take technical ownership of data solutions with an emphasis on engineering efficiency and on-time delivery. The ideal candidate is exposed to the fast-paced world of Big Data technology and has experience in building data solutions using new and emerging technologies while maintaining stability of the platform. The person will get a chance to work with diverse datasets and be on the cutting edge of transforming the way Mastercard captures, processes, stores and visualizes data. Role In this role, you will: * Provide technical leadership and expertise for architecting new platform capabilities* Design & Develop batch and streaming solutions using various Big Data technologies* Be responsible for assessing technologies and approaches for ingestion, transformation and storage* Develop software utilizing open source technologies to interface with distributed and relational data sources* Work closely with team members from across Mastercard to identify functional and system requirements* Understand complex application data flows and bridge the gap between technical and business requirements All About you The ideal candidate for this position should:* Have hands-on knowledge of Spark (Scala preferred), Hadoop, Kafka, and Py-spark.* Be skilled at architecting large and complex data pipelines.* Have experience working with real-time or near real-time ingestion* Provide technical thought leadership and expertise for architecting new platform capabilities* Have strong programming knowledge in Java, Scala or Python.* Hands-on experience in building secure REST APIs * Outstanding communicator with both business and technology audiences * Be familiar with Agile/Scrum methodologies* Have demonstrated ability to adapt to new technologies and learn quickly* Have the ability to manage multiple priorities simultaneously* Be a strong, confident, and able to communicate solution and Architecture effectively to a wide variety of stakeholders* Have the ability to influence and partner with teams outside of the engineering organization* Have experience in building high performing data teams* Have a BS/BA degree in Computer Science, Information Systems or related field#LI-TE1In the US, Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. If you require accommodations or assistance to complete the online application process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.Corporate Security ResponsibilityAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:Abide by Mastercard's security policies and practices;Ensure the confidentiality and integrity of the information being accessed;Report any suspected information security violation or breach, andComplete all periodic mandatory security trainings in accordance with Mastercard's guidelines.In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.PDN-9bba8c2a-65b1-42e4-8233-5dfd10a85fb0

Job ID: 489781CRH's Americas Materials, a division of CRH, is the leading vertically integrated supplier of aggregates, asphalt, ready mixed concrete and paving and construction services in North America. Our operations span North America with over 28,000 employees at close to 1,600 locations in 43 US States and 2 Canadian provinces.Position OverviewThe Data tech lead will bring substantial experience in data solutions to help unlock the power of our data for our stakeholders. As a data tech lead you will handle the increasing complexity and demand for data from various sources, enabling business to make informed decisions. You will provide technical leadership to team of ETL developers in designing and implementing a cutting-edge data platform and pipelines. Data tech lead will also work closely with business analysts and stakeholders in other departments to identify, recommend, develop, implement, and support data solutions.Key Responsibilities (Essential Duties and Functions) Effectively communicate complex technical concepts to business stakeholders, helping them understand the development process and set realistic expectations. Offer guidance and recommendations to the development team, stakeholders based on best practices and industry trends and maximize the return on the investment. Clarify/translate requirements, data strategy into Epics/Stories & remove ambiguity and provide accurate estimates of the time and resources needed to complete tasks. Anticipate potential challenges or edge cases, addressing them before they escalate into significant issues. Collaborate between business stakeholders and development teams, ensuring everyone's input is considered, and the project stays on track. Lead the design and implementation of the data & analytics architecture ensuring compliance, quality and a sustainable growth of the platform. Mentor and train other data team members and business users as needed. Build scalable data pipelines to integrate and model datasets from different sources that meet functional and non-functional requirements. Provide the technology, the tools and data to support enterprise-wide reporting, analytics, data science and self-service need. Delegating tasks and work with the technical team to achieve established timeline. Ensure the data quality by implementing and monitoring a data quality framework together with the data source teams. Formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations. Help to grow our data team with right talents. QualificationsEducation/Experience Master or Bachelor's Degree in Engineering/Computer related discipline, or equivalent experience required 10+ years of ETL / ELT Design, development and implementation experience using standard ETL/ ELT tool 10+ years of SQL Development Experience 7+ years of experience defining and managing ETL / ELT using tools and industry standard practices. 3+ years of Cloud (Azure) experience 3+ years of Snowflake experience 3+ years of SQL Server Reporting Services 2+ years of experience leading, coaching, and providing mentorship to ETL developers in an agile environment. Hands-on and deep experience using Star/Snowflake for schema design, data modeling, data pipelines. Work Requirements Must be 18 years in age or older. Must pass pre-employment drug screen and criminal background check. Strict adherence to safety requirements and procedures as outlined in the Employee Handbook. Willingness to work independently within in a team environment and assist the team with other duties as required. Knowledge/Skill Requirements Advanced knowledge of SQL databases and queries. Advanced knowledge of CDC (Change Data Capture) & CT (Change Tracking) inner workings. Experience in implementing and supporting several different ETL / ELT solutions. Experience in working with many different data sets, large and small. Experience working with data in multiple ERP and data movement technologies. Experience with normalizing and de-normalizing data and creating different fit-for-purpose data model. Knowledge of ETL best practices and standards. Ability to quickly resolve issues. Experience with Cloud (Azure), Snowflake, SQL Server 2014 - SQL Server 2019 , SQL Server Reporting Services , SQL Server Integration Services. Ability to present ideas in concise, business-friendly and user-friendly language. Excellent written, interpersonal and verbal communication skills. Experience with managing and collaborating with multidisciplinary teams. Experience with design and development of EDW (Enterprise Data warehouse) is preferred. Experience with Data Lakehouse, Data Fabric architecture framework is preferred. Physical RequirementsThe physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Able to communicate with others by telephone and in person. Able to utilize a computer for word processing, email communication, and preparation of documents and presentations. Sitting for extended periods of time. Ability to safely lift up to 50 pounds. The statements included in this job description are not intended to be all-inclusive. They represent typical elements and criteria necessary to successfully perform the job. Other duties may be assigned as required. Requirements for this job are subject to modification by the Company and its designees, and reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.What CRH Offers You Highly competitive base pay Comprehensive medical, dental and disability benefits programs Group retirement savings program Health and wellness programs A diverse and inclusive culture that values opportunity for growth, development, and internal promotion About CRHCRH has a long and proud heritage. We are a collection of hundreds of family businesses, regional companies and large enterprises that together form the CRH family. CRH operates in a decentralized, diversified structure that allows you to work in a small company environment while having the career opportunities of large international organization.If you're up for a rewarding challenge, we invite you to take the first step and apply today! Once you click apply now, you will be brought to our official employment application. Please complete your online profile and it will be sent to the hiring manager. Our system allows you to view and track your status 24 hours a day. Thank you for your interest! CRH Americas Materials Inc. is an Affirmative Action and Equal Opportunity Employer.EOE/Vet/Disability--If you want to know more, please click on this link. Date: Apr 7, 2024 Nearest Major Market: Atlanta Job Segment: Data Modeler, Manufacturing Engineer, SQL, Database, Construction, Data, Engineering, Technology

WHAT YOU'LL DOThe BCG Data Team is an integral part of BCG's global operations. The team is responsible for developing and maintaining the BCG internal data platform. Our team consists of members from Boston, London, Munich, and New Delhi working together in a highly collaborative environment. We are responsible for setting the standards and guardrails for BCG's internal data architecture, data pipeline, governance, integration, and security framework. Together, our team provides a centralized data platform that enables advanced operational insights and analytics for BCG stakeholders. To continue to meet the ever-evolving IT needs of BCG, we are looking to add a driven, passionate, and curious Platforms Engineer to our team. You will work closely with crossed disciplinary teams at BCG with the goal of designing and implementing code pipelines, for CICD , Data Operations for the company. As part of your duties, you will be responsible for optimizing the automation and monitoring the security of our internal data platform.YOU'RE GOOD ATDesigning, building, and maintaining data pipeline for enterprise level Possess exceptional knowledge of SQL Possess proven experience with CI/CD tools and platforms Proactively identifying data issues and triaging potential remediations Comfortable with ambiguity and navigating in a fast-changing environment Investigate /Evaluate tool as per business need and responsible for infrastructure setup for that. Make sure following security standards as per company's compliance policy. Experience with object-oriented/object function scripting languages: Python or similar languages. YOU BRING (EXPERIENCE & QUALIFICATIONS)Minimum of Bachelors' degree in Computer Science, Engineering, Mathematics or related fields 5+ years of work experience in designing, developing, and troubleshooting complex SQL queries, including Snowflake, Oracle, MS SQL Server, PostgreSQL, and MySQL 3+ years of hands-on experience in ETL/ELT tools, including DBT,Airflow, or similar platforms 3+ years of work experience with Data Platforms 1+ year development experience in Python or similar scripting languages for data automation Excellent interpersonal and communication skills Experience with software configuration management tools such as Git/Gitlab Experience with continuous integration and deployment (CI/CD) tools such as Jenkins, Azure DevOps, and AWS CodePipeline. YOU'LL WORK WITHAs part of the Enterprise Data Tribe, you don't have to fit into a mould at BCG-there isn't one. We seek people with strong drive, relentless curiosity, desire to create their own path, ability to work collaboratively, and the passion and leadership to make an impact. You'll collaborate on challenging projects with team members from many backgrounds and disciplines, increasing your understanding of complex business problems from diverse perspectives and developing new skills and experience to help you at every stage of your career. You'll be able to experience business on a genuinely global scale and learn how to bring together people from different cultures to uncover insights that challenge the status quo. As a member of the Product Engineering Group, you will work closely with a cross functional team that is collaborative, passionate and that holds themselves to a high standard. Your stakeholders are incredibly intelligent and analytical, make business decisions with a global lens.

Position Details:Title: Data Analytics Engineer (Data Scientist/Architect)Location: Atlanta, GA/ Charlotte, NC - HybridDuration: 7 Months (extension/conversion)Job Description:Bachelor Degree:• Required.Role Responsibilities: • Independently perform sophisticated data analytics in a variety of environments using structured and unstructured data.• Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.• Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.• Engage in stakeholder meetings to identify business objectives and scope solution requirements.• Use, maintain, share and collaborate through internal code repositories to foster continual learning and cross-pollination of skillsets. • Partner with cross-functional teams (including Data and Analytics) to coordinate rules on data usage, data governance and analytics capabilities.Must Have Skills/Prior Experiences: • Strong working knowledge of creating and editing Adobe Analytics dashboards, Camunda, and Microsoft Office (Word, Excel, and PowerPoint).• Strong working knowledge of data extraction in a variety of environments (SQL, JQuery, etc.)• Strong working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark.• Experience in managing multiple projects with tight deadlines in a collaborative environment.Plus/Nice to Have Skills/Prior Experiences:• Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.• 4 years of relevant work experience if candidate lacks graduate degree.• Previous experience in working for a large bank or in the fin-tech industry.• Familiarity with Consumer and Small Business deposits, credit card, lending, and investment products.EEO:"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."

SummaryThe ideal candidate will have a strong background in data engineering, with a focus on healthcare data systems and analytics. As a Healthcare Data Engineer, you will play a key role in designing, building, and maintaining data pipelines, data warehouses, and analytics platforms that support our healthcare software solutions.ResponsibilitiesBachelor's, Master's, or Ph.D. degree in computer science, engineering, statistics, or a related field.Collaborate with cross-functional teams, including data scientists, software developers, and healthcare professionals, to understand data requirements and design scalable and efficient data solutions.Design, develop, and maintain data pipelines and ETL (Extract, Transform, Load) processes to ingest, process, and transform healthcare data from diverse sources, including electronic health records (EHRs), medical imaging data, wearable devices, and claims data.Implement data integration and data modeling solutions to ensure the consistency, accuracy, and integrity of healthcare data across different systems and platforms.Optimize data storage and retrieval mechanisms by designing and implementing data warehouses, data lakes, and data marts that meet the performance and scalability requirements of healthcare analytics applications.Develop and maintain data quality and data governance frameworks to ensure the reliability, completeness, and security of healthcare data throughout its lifecycle.Collaborate with DevOps engineers to automate deployment processes, manage infrastructure as code, and ensure high availability and reliability of data systems and platforms.Implement data security and privacy measures to protect sensitive healthcare information (e.g., PHI) and ensure compliance with regulatory requirements, such as HIPAA and GDPR.Perform data analysis, data profiling, and data visualization to identify trends, patterns, and insights in healthcare data and support data-driven decision-making.Stay current with emerging technologies, trends, and best practices in data engineering, healthcare IT, and healthcare analytics, and apply this knowledge to improve our data solutions.Document data architecture, data flows, and technical specifications, and provide training and support to internal stakeholders on data-related processes and tools.RequirementsStrong proficiency in programming languages and scripting tools used in data engineering (e.g., Python, SQL, Scala).Experience with big data technologies and frameworks, such as Hadoop, Spark, Kaka, and HDFS.Solid understanding of data modeling concepts, relational databases (e.g., PostgreSQL, MySQL), and NoSQL databases (e.g., MongoDB, Cassandra, Melvus and Chroma).Knowledge of data warehousing architectures, data integration techniques, and ETL tools (e.g., Informatica, Talend, Apache NiFi).Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).Understanding of data security, privacy, and compliance requirements in healthcare IT, including HIPAA, GDPR, and HITRUST.Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot complex data issues and propose effective solutions.Strong communication skills, with the ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.Experience with healthcare interoperability standards and protocols, such as HL7 FHIR, DICOM, and CDA.Knowledge of healthcare data exchange formats, including CCD, C-CDA, and Blue Buhon.Previous experience working with healthcare data analytics tools and platforms (e.g., Tableau, Power BI, SAS).Understanding of machine learning and artificial intelligence techniques for healthcare data analysis and predictive modeling.Contributions to open-source projects, participation in technical communities, or attendance at healthcare IT conferences and events.

Location: REMOTESalary: $100,000.00 USD Annually - $125,000.00 USD AnnuallyDescription: Our client is currently seeking a Data Engineer - ETL and Power BI Bachelor's degree in a quantitative discipline such as Computer Science, MIS or related field with 5 years of related experience.Related Experience includes but is not limited to: development and tuning on RDBMS technology including Oracle, SQL Server, Teradata or SingleStore.Willingness to undertake assignments involving unfamiliar subjects and demonstrate aptitude to learn quickly.Excel at communicating complex ideas and concepts both verbally and through writingExperience in Agile/Scrum development with DevOps methodologies geared toward rapid prototyping and piloting of cloud solutionsPrefer 2-3 years of knowledge and experience in the development and tuning of ETL processes using PowerCenter, Informatica Data Replication (IDR), webMethods or other comparable toolsExperience in creating, analyzing and documenting ER and Dimensional models. Prefer ERWIN experience.Unix/Linux experience is preferred. Data Engineers maintain Unix files, commands, and scripts, which requires an understanding of Unix operating system concepts.Prefer 2-3 years of experience in using the Kimball methodology to design and develop Enterprise Data Warehouses and Data MartsExperience in designing and/or developing Analytics applications using tools such as Power BI, QlikView, SAS, RapidMiner or other comparable products.Willingness to travel throughout organization and service territory and work extended hours, as requiredContact: [email protected] job and many more are available through The Judge Group. Find us on the web at www.judge.com