Data Engineer Salary in USA

Data EngineerLocation: Arlington, VA, USHybrid RoleElder Research, Inc. (ERI) is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. The Government-Civilian (GovCiv) business unit is seeking to hire a Data Engineer with strong data engineering skills who will provide technical support across multiple project teams by designing and implementing the data pipelines and data architectures necessary to deliver analytics to our clients. We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients’ environment and needs.As a member of ERI, you will join a functional team of accomplished Data Scientists, Data Engineers, Data Analysts, and Software Engineers that deliver custom analytic solutions. Some of your responsibilities will include implementing data and software engineering best practices, wrangling and fusing large and disparate data sets, developing end-to-end data pipelines, evaluating data quality and embedding quality frameworks into data pipelines, assisting in the deployment of models and algorithms, creating, automating,  and version controlling data pipelines in their entirety, and assisting with delivering and communicating model results through user-focused data visualizations.We are looking to hire a Data Engineer who can support robust and repeatable data manipulation, large-scale infrastructure for data ingestion, and data visualization for custom client applications. [RH1] A Data Engineer works collaboratively with Data Scientists, Data Analysts, and other Software/Data Engineers to create and deploy dynamic data applications that help our customers make meaningful business decisions. Candidates should have the ability and the willingness to tailor applications to a clients’ business goals using an iterative methodology. Candidates should also be able to consider both long-term stability and scalability while taking a user-focused approach to development and deployment.Desired SkillsCandidates should have a mix of the following experiences:Advised on data management strategies and best practices.Designed and implemented data architectures.Developed and implemented data pipelines using a variety of languages and platforms [RH2] that includes data transformations such as aggregations, joins, and data cleansing and standardization.Ingested data into SQL or NoSQL databases.Interacted with SQL or NoSQL databases via Python, Java, or similar.Provided access to transformed data for downstream applications or visualizations via REST APIs or similar.Worked with visualization software such as Power BI, Tableau, or similar.Skilled in applying Git (or other distributed version control) for collaboration, record-keeping, and deployment scenarios.Skilled in using cloud platforms (AWS, Azure, Google Cloud) for building, deploying, evolving, and maintaining data pipelines.Skilled in applying continuous integration and continuous deployment (CI/CD) techniques for surfacing situations where new work breaks existing functionality.Had exposure to modeling and/or data analysis.Had some experience configuring a technical service such as a database, version control system, or operating system.Collaborated with others to accomplish a technical task using the Agile framework.Presented technical work to a non-technical audience via writing or presentation.Desired Education and ExperienceEducation:Master’s in a technical field and 1-2 years’ experience ORBachelor’s and 2-3 years’ experienceCertifications:AWS, Azure, or Google CloudMinimum RequirementsBachelors/Master’s degree in Computer Science or related field requiring software development.2+ years’ of professional experience with Python, Java, SQL, or similar.Worked as a consultant/contractor for the federal government.Excellent written and verbal communication skills.Ability to parse project requirements, including asking questions to ensure full and correct understanding.Willingness and ability to learn new concepts and tools quickly.Willingness and ability to provide technical support across multiple projects.What You Would DoWork on small teams in a highly collaborative environment.Participate in both existing and new projects.Contribute to consulting projects to solve interesting problems for multiple clients in various industries.Communicate details of the technical architecture to fellow team members and clients in both technical and non-technical terms.Work with Data Scientists to design and/or implement the technical architecture necessary to support analytics.Work with Software/Data Engineers to improve the robustness and scalability of software products.Participate in every stage of the engineering lifecycle, from ideation and requirements gathering through implementation, testing, deployment, and maintenance.Work on documentation of the technical architecture for internal and client use.Design, create, and provision data stores.Build trusted and lasting relationships with clients.Provide value to our clients through analytics, software tools, and leadership.Manage and monitor pipelines to extract, transform, and load data (ETL).About Elder Research, Inc.Headquartered in Charlottesville, VA with offices in Arlington, VA, Baltimore, MD, and Raleigh, NC, Elder Research, Inc. (ERI) is a fast-growing solutions and consulting firm specializing in predictive analytics. At ERI, you’ll be part of a fun, friendly community. In keeping with our entrepreneurial spirit, we want candidates that are self-motivated with an innate curiosity and strong team work ethic. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.ERI believes in continuous learning; each week the entire company attends a “Tech Talk” and an office lunch. Individuals often share what they have learned at informal bag lunch talks or afternoon chats. ERI provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and flexible time off - ERI enables and encourages its employees to serve others. ERI provides analytic solutions to hundreds of companies across numerous industries. Our team enjoys great variety in the type of work we do and exposure to a wide range of techniques and tools. If you are passionate about integrating data, technology, and analytics in a team-based environment to solve problems, then ERI may be a good fit for you.

 Data Engineer Onsite Location: Reston, VA or McLean, VAClearance Required: TS/SCI & polygraphPeople Centered. Data DrivenElder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients’ environment and needs.As a Data Engineer, you will support robust and repeatable data manipulation, large scale infrastructure for data ingestion, and stunning data visualization for custom client applications.  Essential Functions: Work collaboratively with data scientists, business consultants, and software engineers to create and deploy dynamic data applications that help our customers make meaningful business decisions.  Develop and deploy robust data pipelines and end-to-end systems Participate in every stage of the engineering lifecycle, from ideation and requirements gathering through implementation, testing, deployment, and maintenance Provide leadership and coordination for certain stages of the engineering lifecycle as needed Perform other technical tasks as needed, including writing project reports, managing, implementing, and/or maintaining technical infrastructure, etc. Ability and the willingness to tailor applications to a client’s business goals using an iterative methodology.  Ability to consider both long-term stability and scalability while taking a user-focused approach to development and deployment. Communicate clearly both verbally and in writing to teammates and clients Ability to work independently in a collaborative, dynamic, cross-functional environment Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements Required SkillsBachelors or Master’s degree in Computer Science or related field, and 5 years of experience TS/SCI with PolygraphAbility to work with high-level mathematical concepts and associated code-form representations Experience with Python, Java, Scala, Familiarity with R O/S: UNIX, Linux, Solaris, ssh, git.Experience with Data manipulation, SQL, relational databases, and/or NoSWL databases. Cloud: AWS, stack configuration and management Focus areas: data manipulation, big data architecture, data structures, database administration, cloud platforms and SaaS, development operations (devops), data visualization and user experience. About Elder Research, IncElder Research is a fast-growing consulting firm specializing in predictive analytics. Being in the data mining business over 20 years, we pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong teamwork.Elder Research believes in continuous learning; each week the entire company attends a “Tech Talk” followed by an office lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others.Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.Elder Research is a government contractor, and our positions require US Citizenship.

Data EngineerLocation: Arlington, VAHybridElder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools. We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients’ environment and needs.Summary of Position:     As a Data Engineer, you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions and tools that solve client problems. The Data Engineer will primarily create and deploy robust, repeatable, and automated data pipelines that will ingest and transform raw data to support various advanced analytics and machine learning models. The resulting pipeline should be developed to be deployed into existing large-scale applications or different data visualization platforms available. This position will be part of our Government Civilian Team serving Federal Civilian agencies as our primary customers. Essential Functions: Strong troubleshooting and problem-solving capabilitiesDemonstrated experience with various types and sizes of data sets, both quantitative and textWork collaboratively with data scientists, data analysts, and client engagement managers to create and deploy dynamic data applications or data visualization tools that help our customers make meaningful business decisions.  Writing re-usable code in Python, SQL, Java or other languages, and working to refine it through code review and discussion  Develop and deploy robust data pipelines and end-to-end systems in an air-gapped environmentParticipate in every stage of the engineering lifecycle, from ideation and requirements gathering through implementation, testing, deployment, and maintenance Provide leadership and coordination for certain stages of the engineering lifecycle as needed Perform other technical tasks as needed, including writing project reports, managing, implementing, and/or maintaining technical infrastructure, etc. Ability to consider both long-term stability and scalability while taking a user-focused approach to development and deployment. Meetings and discussions with clients and co-workers to refine understanding of the business problem at hand.  Preparing presentations, writing reports (technical and non-technical), and working to communicate technical results to clients with varying levels of analytic sophistication. Ability to work independently in a collaborative, dynamic, cross-functional environment.Demonstrate strong communication and consulting skills, facilitating effective collaboration within a diverse team.Job Specifications/Requirements:Undergraduate and graduate degrees in engineering, computer science, analytics, math, finance, accounting, management information systems, social sciences, physics, or decision science.Design, build, and deploy data engineering pipelines that extracts, transforms raw data into analytics base tables to support downstream machine learning models using languages such as Python, R and SQLDevelop end-to-end ML pipelines, responsible for integration from back to front end in on-premises and cloud environments.Collaborate closely with data scientists, data analysts, client engagement managers, and product managers to understand business requirements and provide solutions.Improve and modernize existing ML pipelines and operations, emphasizing best practices and efficiency gains.Work in a fast-paced environment, contributing to a collaborative and agile development process.Experience engaging and interacting with clients, stakeholders and subject matter experts (SMEs) to understand, gather and document requirements.Comfortable learning new things and working outside of your comfort zone. Communicate clearly both verbally and in writing to teammates and clients. Humble and willing to learn, teach, and share ideas. Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements.Must currently possess or have previously held an IRS Security Clearance. Desired SkillsAdvanced degree (MS) in a relevant field (analytics, math, statistics, computer science, management information systems, social sciences, engineering, physics, decision science, or business, etc.,)Experience using version control (e.g. git, svn, Mercurial) and collaborative programming techniques (e.g. pair programming, code reviews)  Experience with containerization and environment management (venv, conda, etc.,)Experience with one or more technologies, such as R Shiny, Databricks, AWS, AzureFamiliarity with vector, object, and document storage databasesExperience implementing data engineering processes in a remote, austere environment to include using bash,Experience with business intelligence and data visualization platforms (Power BI, Tableau, etc.,).Understanding of the data analytics lifecycle (e.g. CRISP-DM).  Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.To be considered for this position, you must be eligible to legally obtain a US Public Trust.

DESCRIPTIONAd Catalyst is part of Advertiser Experience organization within Amazon Worldwide Advertising. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. The Advertiser Experience (AX) organization owns the experience of the advertiser from the moment they decide to engage with our platform through the full lifecycle of self-service advertising management. Ad Catalyst Team enables Advertisers to get most growth by providing them with science-backed ML generated guidance at-scale by connecting retail, advertising and marketing signals. We are looking for an experienced data engineer with a track record of delivering high quality big data pipelines using AWS distributed architectures (e.g., Glue, S3, Spark, EMR, Airflow) and is a great team player who is skilled in stakeholder management. You will be working closely with cross-functional teams (science and SDE) to build robust data pipelines, optimize data processing systems, and deploy machine learning models that power our advertiser facing solutions. This role offers a unique opportunity to contribute to the intersection of data engineering and machine learning in a dynamic and collaborative environment. Your contributions will directly lead to enhanced site wide performance, growth in ad products, innovative new experiences, faster execution for engineering teams, and increased success of Amazon’s fastest growing business. Strong candidates for this role will have strong problem-solving skills with a keen attention to detail in designing and optimizing data processing pipelines, ability to collaborate effectively with cross-functional teams, excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. If you enjoy working and growing high performance teams, being part of a rapidly growing business, and inventing creative solutions to complex problems, this role is for you! We are open to hiring candidates to work out of one of the following locations:New York, NY, USAKey job responsibilities* Design and implement scalable data pipelines for collecting, processing, and storing large volumes of data* Collaborate with data scientists, software engineers, and domain experts to evaluate, gather and process data for model training* Work closely with scientists to integrate machine learning models into production pipelines* Develop and implement data quality and validation processes to ensure accuracy and reliability* Optimize and fine-tune models for performance, scalability, and efficiency.* Work closely with SDE teams to design data solution for API use* Bar raising the operational excellence of data engineer practiceWe are open to hiring candidates to work out of one of the following locations:New York, NY, USABASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets- Proven experience to contribute to the development of operational processes for efficient data model deployment and maintenancePREFERRED QUALIFICATIONS- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)- Experience providing technical leadership and mentoring other engineers for best practices on data engineering- Experience in popular machine learning frameworks such as TensorFlow, PyTorch, or scikit-learnAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

Thedata engineer will be responsible for all aspects of execution and delivery fornew and ongoing client implementations of the analytic platform. This willrequire working with clients and coordinating with internal businessconsulting, analyst, data science, and technology teams.What You’ll Be DoingManage and manipulate multiple largedata sets, including: defining populations and variables, performingcalculations and summarizations, and creating solutions to address clientbusiness questionsPrepare complex analyticdeliverables, combining multiple programming outputs to create cohesive reportsAcquire a strong understanding ofresearch topics and a thorough knowledge of the data and programming effortsinvolvedSynthesize business questions,translate from concept to code, in order to produce client deliverablesHelp design analytic data setspecifications: synthesize business questions, translate from concept to code,in order to produce client deliverables, Lead in delivery of analytic projectsIntroduce new methodologies andefficiencies to increase productivityContribute to the definition anddevelopment of key findings and marketing-oriented conclusionsWhatSkills You’ll NeedBachelor's Degree in Engineering,STEM field or related with 2-3 years of relevant experienceIn depth familiarity of SQL (SQLServer and Oracle), and data visualization tools (Tableau and Power BI)Familiarity with Python or PySparkFamiliarity with Big data technology(Hadoop) and its applications (HUE suite)Understanding of complex data flows,identification of data processing bottlenecks and designing and implementingsolutionsA broad set of technical skills andknowledge across hardware, software, systems and solutions development andacross more than one technical domainProven ability to balance and managemultiple, competing prioritiesCollaborative interpersonal skillsand ability to work within cross-functional teams.Self-starter who relies onexperience and judgment to plan and accomplish goals in complex fast-pacedenvironment to ensure quality of all data integration pointsExcellent customer service skillsCreative problem-solving andanalysis skillsAbility to handle problem situationsquickly, inventively, and resourceful Experience in following areas aplusExposure to the Azure or AWSecosystemKnowledge in SASKnowledge of cloud computing, PigLatin or HiveQLKnowledge of statistical conceptsBusiness, economics, or quantitativemethods backgroundWhat We OfferGlobal career mobility, professionaldevelopment, employee recognition programsState of the art technology whichallows for seamless global connectivityLearning and career growthopportunities via our global footprintRich wellness program and healthincentives TTECrequires all employees hired in the United States to successfully pass abackground check and depending on location and client program a drug test, as acondition of employment. TeleTech is an Equal Opportunity Employer.

Role: Data EngineerLocation: New Jersey (Hybrid)Experience: 10+yearsW2 ContractJD :Must haves:ScalaCloudData EngineeringSparkJob Description:Will be doing Data Engineering work for a One Data Lake Platform. The resource will be pulling data from structured data sources. Then ETL the data using Scala, no tooling used. Everything is done in a GCP environment they are off of Hadoop, so no Hadoop. We are open to any cloud. All active Scala development

DESCRIPTIONAmazon Forecasting team is looking for a Data Engineer to join the team. We are pioneers in the fields of Amazon demand analysis and forecasting. Forecasting data engineers build scalable data transformation pipelines to ingest data from different data sources, and provides big data sources for machine learning models to predict the Amazon demand world wide. If you want to learn how to leverage technology to predict the future, this is the team for you.As a member of the Demand Forecasting team, you'll play a key role in solving one of the world's most complex technical challenges in data engineering. You will utilize large-scale compute platform to build big datasets used in distributed systems for machine learning and statistical analysis - just to name a few.Our Data Engineer needs to be able to gather and understand data requirements, build and maintain big data sources to prepare data for machine learning models, data scientists, business intelligent engineers, and work with software engineers to achieve high quality data ingestion and transformation solutions. You need a passion for solving complex problems, and enjoy the challenge of operating complex systems under extreme loads. If you think you’re up to the challenge and you’d like to learn more, we’d love to talk to you. In this role, you will be a technical expert with significant scope and impact. You will work closely with a group of software development engineers, product managers, data scientists, and business intelligence engineers to create the data infrastructure and data processing pipelines to drive our team’s initiatives.Successful candidates should come from a strong data engineering background. You need to have experience with structured data, and being able to analyze/transform the data using various tools. Although SQL is a strong requirement, being flexible enough to work with scripting language is a must. Often, the pace of innovation and change implies a need to move to new data sources, and our data engineers get to participate in deep diving business data in order to understand/measure sources of disparity. Your analytical skills and knowledge of schema, metadata and data structure in big data world will be essential.As a data engineer, you will need to design and develop high scalable ETLs with EMR based applications as well supporting them on Glue ETL or Redshift. Knowledge of big data architecture and design is a must. Key job responsibilities- Create scalable data solutions using AWS and/or Amazon internal tools. - Create and maintain business logic for data transformation and ingestion pipelines. - Create and maintain datasets in Amazon data lake and internal data management systems using S3/Glue.- Data investigation and analysis to understand the impact of changes on downstream customers' use cases and build transformation logic to ingest data for Forecasting data analysis.- Provide quality data for Amazon downs team data consumers.A day in the lifeWe not only provide data to machine learning models but also to our direct customers in BI and Data Science. We help them to get access to the data which they need for data analysis, working with them to address data quality issues and resolve data requirements for experiments, training and back testing models as well as data required for generating the forecast on regular basis. We are open to hiring candidates to work out of one of the following locations:New York, NY, USABASIC QUALIFICATIONS- 2+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Bachelor's degree, or Master's degree- Experience with SQLPREFERRED QUALIFICATIONS- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)- 3+ years of data engineering experience- If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

Engineer, Senior|6131 218360 - San Diego, CA 921215 Months ContractThe ideal candidate will possess the following qualities.Data engineer to design, process for and build automation for test data analytics and data structure.Engineer is also responsible for injecting domain knowledge into Knowledge Graph (graph database) and supporting execution of an analytic workflow modeled through a Knowledge Graph.Minimum qualifications:• 5 years or more experience with the following languages: Python, Java Script, C#, Shell scripting• 2 years or more experience with databases PostgreSQL: querying (SQL), and data modeling.• 1 year or more experience with graph data models and graph databases• Experience with web development framework especially Rest API and ORM.• Semiconductor knowledge in Product and Test Engineering• Experience in developing data science solution for Hardware Engineering• Bachelor degree in Computer/Electrical Engineering, Math/Stats, Computer Science, or related field.Preferred qualifications:• Experience with Power BI and Excel Dashboard development• Experience with Tibco Data Virtualization• Experience with Statistical Predictive Analytics and Machine Learning models• Experience building automation with Jira, Confluence, SharePoint• Experience with AWS Elastic Beanstalk, Aurora Serverless PostgreSQL + S3 + Glue + Athena + File gateway + IAM + Lambda.• Experience developing Data Warehouse and schema support• Experience with instrument control and data acquisition• Experience with LabVIEW, MATLAB• 5 years or more experience in developing data science solution for Hardware Engineering• Ability to be flexible/adaptable in exercising judgment in a dynamic environment and prioritize and manage tasks efficiently• Excellent communication skills, and the ability to work with stakeholders to provide technical solutions to business challenges• Bachelor and Master degree in Computer/Electrical Engineering, Math/Stats, Computer Science, or related field.

Data EngineerPay: $40.00-$60.00/hourShift: M-F / 8am-5pmLocation: San Diego, CAExperience Requirements- Data EngineerBS in Data Engineering, Data Science, Computer science, or related field. MS preferred.Minimum 4-8 years of experience performing dedicated data engineering work in a regulated industry (e.g. Medical Devices, Automotive, Aerospace, Pharma).3+ years of programming experience. 1+ years' experience ElasticSearch, 3+ years' experience SQL programming / Visualization / data analytics Skills and KnowledgeGood coding experience in Java and Python Strong experience in data analyticsFluent in common data science tools in Python/R (preferred).Knowledge of database principles, such as relational and non-relational databases, data architecture. Experience in SQL, MongoDB preferred.Experience with cloud computing platforms such as Microsoft Azure, AWS and GCP. Experience with architecting ETL applications.Experience working with ELK stack (ElasticSearch, Logstash, and Kibana) preferred Experience creating dashboardsDemonstrates ability to collaborate effectively and work in a matrix organization. Service orientation towards internal customersHigh degree of self-motivation and commitmentStrong communication skills, written and verbalJob Description: Data EngineerSupports development, optimization, automation, and management of data pipelines.Use proven techniques to automate common data collection, preparation, integration, processing, and distribution tasks.Train the Biostats team in data pipeline and preparation techniques to streamline daily use of the data.Assist in producing datasets and simple analytic tools to be used by technical or non-technical end users.Collaborate with Information Systems team to best support the data science and analytics needs of the Biostats team.ESSENTIAL FUNCTIONS: Data EngineerBuild, optimize, automate, and manage data pipelines.Be responsible for analytical and clinical study data collection from various data streamsWork with Biostats team to develop tooling, processing pipelines, and monitoring dashboardsExecutes all tasks in accordance with company Quality System and carries out duties in compliance with established business policies.

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.