CVS Health
Senior Data Engineer
CVS Health, Hartford, Connecticut, us, 06112
Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.Position Summary:
If you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products/software with a customer-first mindset and team-oriented approach.As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.Responsibilities:
Develop large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses analytical needs.Collaborate with product business and data science team to collect user stories, translate into technical specifications, and implement data transformation, algorithms, and models into automated processes.Build highly scalable and extensible data marts and data models to support Data Science and other internal customers on Cloud. Integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards.Provide guidance to a team of data engineers and collaborate closely with data scientists and analysts to support data-driven decision-making.Analyze current information technology environments to identify and assess critical capabilities and recommend solutions.As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.Required Qualifications:
3+ years of experience with SQL, NoSQL3+ years of experience with Python (or a comparable scripting language)3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components3+ years of experience with ETL/ELT, and building high-volume data pipelines3+ years of experience with reporting/analytic tools3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management3+ years of experience with Big data and cloud architecture3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders1+ year(s) of experience independently managing deliverablesPreferred Qualifications:
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)Experience with Git, CI/CD pipeline, and other DevOps principles/best practicesExperience with bash shell scripts, UNIX utilities & UNIX CommandsUnderstanding of software development methodologies including waterfall and agile.Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sourcesKnowledge of API developmentExperience with complex systems and solving challenging analytical problemsStrong collaboration and communication skills within and across teamsKnowledge of data visualization and reportingExperience with schema design and dimensional data modelingGoogle Professional Data Engineer CertificationKnowledge of microservices and SOAFormal SAFe and/or agile experience. Previous healthcare experience and domain knowledgeExperience designing, building, and maintaining data processing systemsExperience architecting and building data warehouse and data lakesEducation:
Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master’s Degree preferred.Pay Range:
The typical pay range for this role is:$101,970.00 - $203,940.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long-term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.For more detailed information on available benefits, please visit
Benefits | CVS HealthWe anticipate the application window for this opening will close on: 12/04/2024Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
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If you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products/software with a customer-first mindset and team-oriented approach.As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.Responsibilities:
Develop large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses analytical needs.Collaborate with product business and data science team to collect user stories, translate into technical specifications, and implement data transformation, algorithms, and models into automated processes.Build highly scalable and extensible data marts and data models to support Data Science and other internal customers on Cloud. Integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards.Provide guidance to a team of data engineers and collaborate closely with data scientists and analysts to support data-driven decision-making.Analyze current information technology environments to identify and assess critical capabilities and recommend solutions.As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.Required Qualifications:
3+ years of experience with SQL, NoSQL3+ years of experience with Python (or a comparable scripting language)3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components3+ years of experience with ETL/ELT, and building high-volume data pipelines3+ years of experience with reporting/analytic tools3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management3+ years of experience with Big data and cloud architecture3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders1+ year(s) of experience independently managing deliverablesPreferred Qualifications:
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)Experience with Git, CI/CD pipeline, and other DevOps principles/best practicesExperience with bash shell scripts, UNIX utilities & UNIX CommandsUnderstanding of software development methodologies including waterfall and agile.Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sourcesKnowledge of API developmentExperience with complex systems and solving challenging analytical problemsStrong collaboration and communication skills within and across teamsKnowledge of data visualization and reportingExperience with schema design and dimensional data modelingGoogle Professional Data Engineer CertificationKnowledge of microservices and SOAFormal SAFe and/or agile experience. Previous healthcare experience and domain knowledgeExperience designing, building, and maintaining data processing systemsExperience architecting and building data warehouse and data lakesEducation:
Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master’s Degree preferred.Pay Range:
The typical pay range for this role is:$101,970.00 - $203,940.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long-term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.For more detailed information on available benefits, please visit
Benefits | CVS HealthWe anticipate the application window for this opening will close on: 12/04/2024Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
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