We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
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.
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
• 3-5+ years of experience with SQL, NoSQL
• 3-5+ years of experience with Python
• 3+ years of experience with Data warehouses (such as data modeling and
technical architectures) and infrastructure components
• 3+ years of experience with ETL/ELT, and building high-volume data pipelines
• 3+ years of experience with reporting/analytic tools
• 3+ years of experience with Query optimization, data structures,
transformation, metadata, dependency, and workload management
• 3+ years of experience with Big data and cloud architecture
• 3+ years of hands-on experience building modern data pipelines within a
major cloud platform (preferably GCP, open to AWS or 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 stakeholders
• 1+ year(s) of experience independently managing deliverables
Preferred Qualifications
• Experience building Agentic AI tools
• Experience with Git, CI/CD pipeline, and other DevOps principles/best
practices
• Experience with bash shell scripts, UNIX utilities & UNIX Commands
• Understanding 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 sources
• Knowledge of API development
• Experience with complex systems and solving challenging analytical
problems
• Strong collaboration and communication skills within and across teams
• Google Professional Data Engineer Certification
• Knowledge of microservices and SOA
• Formal SAFe and/or agile experience
• Previous healthcare experience and domain knowledge
Education
• 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
Anticipated Weekly Hours
40Time Type
Full timePay 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.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 3-5+ years of experience with SQL, NoSQL
- 3-5+ years of experience with Python
- 3+ years of experience with Data warehouses
- 3+ years of experience with ETL/ELT
- 3+ years of experience with reporting/analytic tools
- 3+ years of experience with Big data and cloud architecture
- 3+ years of hands-on experience building modern data pipelines within a cloud platform
- 3+ years of experience with real-time and streaming technology
- 1+ years of soliciting complex requirements and managing relationships with stakeholders
- 1+ years of experience independently managing deliverables
CVS Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CVS Health and has not been reviewed or approved by CVS Health.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive for benefits-eligible colleagues, including medical, dental, and vision with free preventive care and access to virtual care and select no-cost MinuteClinic services. Mental health support is also highlighted with no-cost confidential counseling sessions per issue.
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Retirement Support — Retirement benefits include a 401(k) with a dollar-for-dollar match up to 5% after meeting service and hours requirements. Ownership programs are also offered through an employee stock purchase plan with a stated purchase discount.
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Pay Growth & Progression — A companywide minimum wage floor establishes a baseline that is framed as a positive starting point in some roles and markets. Unionized or high-cost areas are described as having clearer wage scales and step-ups that can materially lift pay over time.
CVS Health Insights
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
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