Data Engineer Salary in Chicago, IL

1. Work under the direct supervision of the Manager and report to the Manager on a daily basis.2. Coordinate creation, maintenance and updating of application programs services and databases.3. Migrate local data to categorize data and manage the data integration daily.4. Analyze and resolve data errors and participate in developing new database system.5. Perform SQL query and develop store procedures in .Net environment.6. Manage database security and configuration for enterprise-wide databases.Mail resume to job site:Hooli Homes Illinois Inc.Job Site: 1 S Dearborn St, Suite 2000Chicago, IL 60603No call please.No email please.Posted from 04/09/2024 to 05/17/2024

Senior Data EngineerJob OverviewJoin this team as a pivotal member of the Data Engineering division, reporting directly to the VP of Engineering.This company has expansion plans, they are growing the Data Engineer team to five individuals, and you could be one of them!As a Senior Data Engineer, you'll lead in designing, implementing, and maintaining the company's critical data pipelines.Your contributions will directly impact the success of the products and services, driving innovation and efficiency across the board.Location: 100% RemoteSalary: $145k - $175k (with equity and full benefits)Who are you?- 3+ years experience as a Data Engineer- Industry experience building and productionalizing data pipelines.- Highly proficient in ETL, Python, and Airflow.What are you doing?- Develop and manage ETL pipelines at scale.- Craft clean, maintainable data pipelines that seamlessly feed into data science processes.- Architect the infrastructure to support the company's next-gen products.- Foster collaboration with cross-functional teams throughout product delivery.Why join this company?- They received a $10 million investment to double the size of the Engineering Department.- Your expertise will play an impactful role in the team.For further details please submit a resume.Fractl Consulting is acting as an employment business in relation to this advert. As a professional company, we gladly welcome applications from persons of any age and background and do not intend to discriminate with advert text and terminology.

Data Scientist: Marketing Hybrid role : SCALE CHICAGO (HQ)515 N State St.Chicago, IL 60654ABOUT SCALE MARKETING: Scale Marketing is a collective of professionals who bring unique business and media experience together to drive client success. We dive into our client's customer data and historic media buys to understand where a business has been and optimize strategy to bring it closer toward where the client wants to go. We buy media strategically and efficiently, and produce creative work designed to meet specific KPIs. With robust data and analytics expertise, Scale's job is never done - we are constantly testing, analyzing, updating and optimizing based on how business flows. Nimble and transparent, we make our clients' dollars go farther and be more effective than they ever have. That approach has been paying off, because we've been growing. We attribute our success to the way we treat our clients and each other, and we are always looking for subject matter experts to join our team.Marketing Data Scientist Successful, smaller to mid-sized, multi-location marketing agency seeks a driven, energetic, inspiring, creative and entrepreneurial individual who wants to join a team of high-performing professionals. Ideal Candidate Experience Should Include: Bachelor's or Master's degree in mathematics, business, statistics, economics, computer science or equivalent combination of education and experience. Minimum of 10 years of directly related experience and strong proficiency of data analytics, predictive modeling techniques, test/learn, customer segmentation, MTA and/or mixed media modeling.Successful track record of applying complex analytics techniques in a consumer marketing environment.Strongly motivated to be a player in a team which is constantly working to improve themselves through discovering new analytics techniques and software tools to improve the quality of our work.Superior research, statistical, analytical, processing and mathematical skills with ability to structure and conduct analyses.Knowledge of digital marketing principles such as funnel optimization, UX, SEO & Landing Page optimization & experience in running A/B tests for campaigns and deriving customer insights.Proficiency in Microsoft Office Suite, SQL, and at least one of the following: SAS, R, Matlab, and/or Python. Strong verbal and written communication skills; ability to present complex information in an easy-to-understand manner with clear recommendations based on data insight. Adaptability and the capability of multi-tasking and strong time management.Attention to Detail, Confidentiality, Thoroughness, Decision Making, Independence, Analyzing Information, Results Driven.Roles and Responsibilities Include:Mixed Media Modeling and Multi-Touch AttributionDevelop and maintain multi-touch attribution models across digital and non-digital marketing channels. Estimate causal impact of marketing activities on financial outcomes in the short and long term.Integrate Marketing ROI models with multi-touch attribution models (e.g., consistent media taxonomy, rationalize ROI estimates). Prepare quarterly media optimization scenarios to inform media plans, financial forecasting, and target areas for efficiency gains.Provide insights to marketing and channel leads on cost to acquire, value of digital engagement, and cross-channel impact of media.Ensure high quality inputs into media mix models including accurate media spend by market, pricing/promotion position, competitor spend, and channel support.Establish and maintain expert knowledge of the latest methodological innovations in marketing mix modeling.Customer and Audience ManagementDevelop and maintain comprehensive customer segmentation models and recommendations for key focus segments.Identify targeted audiences to optimize marketing communications for digital media, on-site personalization, and one-to-one marketing (e.g., email, SMS, and direct mail) leveraging transactional data, online-browse behaviors, and 3rd parties.Develop thought leadership on best variables and fields to define key audiences for customer glidepath management efforts.Partner with IT to build, manage, and refresh audiences in relational databases and campaign management platforms to execute segmented marketing programs. Lead deep dives to identify highest performing audiences in digital media, on-site personalization, retargeting, and one-to-one marketing campaigns.Develop audience targeting plans for media buying, on-site personalization, and one to one interaction.Collaborate with vendors to build audiences in external databases and systems (e.g., DMP, third-party demographic data, etc.).Execute ad-hoc analyses as requested by leadership for development of segmented contact strategies. Create and maintain reports detailing performance of key audiences and communicate results to key stakeholders.Data Insight and Predictive AnalysisCustomer ReportingPreparing source data for computer entry by compiling and sorting information; establishing entry priorities via Excel, text files, and other possible data formats. Processes documents from multiple sources by reviewing data for deficiencies; resolving discrepancies by using standard procedures and coordinating with internal teams for resolution.Maintains data entry requirements by following data program techniques and procedures.Verifies entered customer and account data by reviewing, correcting, deleting, or reentering data; combining data from both systems when account information is incomplete; purging files to eliminate duplication of data. Producing campaign reports and analysis for all relative mediums.Supporting Media Operation and Account Executive team for ad hoc analysis/report assignmentsMaintains customer confidence and protects operations by keeping information confidential. Tests system changes and upgrades by inputting new data; reviewing output.Secures information by completing data backups.

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.The Big Data Azure Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. These capabilities include batch and streaming analytics, machine learning models, natural language generation, and other emerging technologies in the field of advanced analytics.RequirementsBachelor's degree in Computer Science or similar field 4+ years of experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases)Experience in Java/Python/Scala Experience extracting/querying/joining large data sets at scale Experience building data platforms using Azure stack Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data Strong knowledge on Azure Storage schematics such as Gen1 and Gen2Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks Knowledge of Azure networking, security, key vaults, etc. Experience in data wrangling, advanced analytic modeling, and AI/ML capabilities is preferred Experience utilizing Snowflake to build data marts with the data residing in Azure storage is a plusStrong communication and organizational skillsBenefitsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

As a catalyst for innovative digital marketing ideas, what excites us at TRKKN is using a data-driven approach to take our clients' business to the next level.Working at TRKKN means that you'll be part of an inspiring, energetic, and international team in a fast-growing tech environment. We offer the ideal workplace for anyone who wants to grow, learn, and has a strong desire for solving complex business challenges.Being on the bleeding edge of marketing technology and innovation means you will have an unparalleled opportunity for learning, along with personal and professional growth: there's never a dull moment here.Cloud EngineerThe Cloud Engineer is central to the technical excellence the agency provides to its clients. This role emphasizes hands-on technical work, developing and deploying cloud solutions tailored to clients' needs. While their primary focus is on engineering, they will also collaborate closely with consultants and other teams to ensure the developed solutions align with broader business goals.Responsibilities:Develop and implement bespoke Google Cloud solutions tailored to clients' specific requirements.Design, implement, deploy and manage scalable and reliable Google Cloud architectures, utilizing Google Cloud services, including but not limited to, BigQuery, Firestore, DataForm, Cloud Composer, Data Flow, and Cloud Run.Utilize Google Cloud data engineering tools, including Cloud Composer, Data Flow, and Cloud Run.Work with Python, Git, Terraform, and Docker to maintain and optimize client applications, services, and infrastructures.Integrate DevOps methodologies to streamline software development, deployment, and monitoring.Collaborate closely with the Google Cloud Consultant to ensure that tech solutions align with the business focus and goals.Stay updated with the latest advancements in Google Cloud technologies and best practices.Building, managing, & maintaining media data infrastructure, and building the optimization suite of tools the team uses for media optimization and decision making.Soft Skills:Technical Communication: Ability to explain complex technical concepts in a clear and concise manner to non-technical stakeholders.Team Collaboration: Work effectively with diverse teams, understanding the roles and contributions of other specialists.Adaptability: Rapidly adjust to new client needs or changes in technical requirements.Problem-solving: Innovative approach to challenges, offering efficient and effective solutions.Continuous Learning: Dedication to staying updated on the latest Google Cloud developments and industry trends.Additional Skills:Experience with SQL and NoSQL databases.Knowledge of CI/CD tools and their integration with cloud platforms.Familiarity with Kubernetes and container orchestration.3+ years of relevant work experience is requiredTRKKN is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class.

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

By joining our team, you'll be part of our life-changing Mission and Vision. You'll work in a truly inclusive environment where diversity and equity are championed through words and actions. You'll contribute to an innovative culture that is second to none, one that embraces curiosity, discovery and compassion. You'll play a role in something that's never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes - as we Advance Human Ability, together.Job Description SummaryThis Voice Engineer installs and supports all telecommunications, voice cabling and third party voice applications tied to Cisco CUCM systems. Upgrades and modifies the Voice over Internet Protocol ("VoIP") network to satisfy growth and expansion, and provides IP networking support for new VoIP services. The Voice Engineer will also work with customers to train, educate and gather data to configure and implement a customer-focused and enterprise-wide Unified Communications solution. The Voice Engineer will be responsible for determining the best technical solution to meet the organization's voice and communication requirements. The Voice Engineer will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute.The Voice Engineer will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, and Commitment to Excellence) while fulfilling job duties.Job DescriptionInstalls, maintains, monitors, upgrades, updates, troubleshoots the organization's Cisco CUCM phone system, Unity connection voicemail system, Cisco Emergency Responder (including cloud based e911), Cisco UCCE, Cisco IVR, Calabrio voice recording system, Video conference system, and Video Distribution System.Supports ongoing add, moves and changes of voice and Telecom equipment.Programs voice mailboxes for individual users and departments, troubleshoots voicemail issues and telecom system failures.Maintains, updates, trains and troubleshoots collaborative tools such as WebEx.Configures, maintains and troubleshoots the organization's mass notification system.Maintains VoIP system documentation including user guides, installation procedures, configuration procedures and standards. Trains end users to use telephony systems and equipment.Supports third party applications integrated into the organization's VoIP systems (e.g., CareAware connect, Nurse Call system, Skype, eFax, etc.).Completes call detail records analysis and generates reports as requested by end users.Maintains phone directories and extensions database (route plan).Performs daily system monitoring, verifying the integrity and availability of all hardware, server resources, systems and key processes, reviewing system and application logs, and verifying completion of updates.Installs, maintains, monitors, upgrades and updates VoIP and telecom system, servers, gateways and patches related to them.Troubleshoots all LAN and WAN hardware components using network analyzers for voice services and configures correct communication media segments. Supports second and third tier escalations for all VoIP products and technologies.Works with Sr. Network Engineer on projects and Provide on-call support outside of routine business hours.Analyzes new technology that enables the company to be on a high level of services.Performs other duties as assigned or required.Reporting RelationshipsReports to Manager, Network and SystemsKnowledge, Skills & Abilities RequiredBS degree in a computer discipline or relevant certification. Work experiences can replace traditional educational requirements.CCNA collaboration or CCNA Routing and Switching preferred.Minimum 3 years of experience with VoIP products and technologies.Solid understanding of ITSM best practices.Practical experience in network protocols like TCP/TP including QoS, CoS and multicast.Must be familiar with analog and digital phone systems, including VoIP.Basic knowledge of Microsoft Windows products and technologies, Microsoft server/application products, and Microsoft Office suite, including MS Project and Visio.Ability to work closely with Sr. Network and Sr. Security Engineers to provide escalation support.Ability to create new and modify existing runbooks, support manuals and user guides.Ability to design voice solutions per users' requirements and quickly deliver enterprise solutions.Good customer service skills.Working ConditionsNormal office environment with little or no exposure to dust or extreme temperature.Prolonged exposure to video display terminal.Travel to Shirley Ryan AbilityLab's Disaster Recovery data center or remote clinic locations in company vehicle or personal vehicle.Ability to transfer and lift hardware weighing up to 30 pounds.The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.Equal Employment Opportunity ShirleyRyan AbilityLab is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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

Center 1 (19052), United States of America, McLean, VirginiaSenior Data EngineerSenior Data EngineerDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesWork with a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and SnowflakeShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentPerform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's DegreeAt least 4 years of experience in application development (Internship experience does not apply)At least 1 year of experience in big data technologiesPreferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)2+ year experience working on real-time data and streaming applications2+ years of experience with NoSQL implementation (Mongo, Cassandra)2+ years of data warehousing experience (Redshift or Snowflake)3+ years of experience with UNIX/Linux including basic commands and shell scripting2+ years of experience with Agile engineering practicesAt this time, Capital One will not sponsor a new applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Data EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

10 - 12 years of experience working in large BI, DWH and EDL implementationsShould have strong experience in converting SQL/PL, Data transformations, Data quality and complex SQL's into data lakeExperience using Hadoop Distribution and it's all services for example: YARN, KUDU, OOZIE, IMPALA, HIVE, HBASE, SPARKWorking knowledge of Java / Python & REST APIConducts facilitated working sessions with technical executives and business expertsShould possess excellent communication and presentation skills and be able to explain complete data transformation and model mapping process.Understand of Graph DatabasesWillingness to learn new data lake technologies and hand on implementation.