Senior Data Engineer
Role details
Job location
Tech stack
Job description
At CVS Health, we are committed to delivering an exceptional developer experience across all CVS Digital teams. We are building a new Developer Experience Tooling & Automation team and are seeking a hands-on Senior Data Engineer to design, build, and maintain the data pipelines, analytics infrastructure, and data-driven tooling that provide actionable insights into developer productivity, platform health, and engineering metrics across the enterprise.
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., * Design, develop, and maintain scalable ETL/ELT pipelines for high-volume batch and real-time data
- Build and optimize analytics infrastructure that supports developer productivity and engineering metrics
- Partner with cross-functional teams to deliver data products and self-service insights
- Develop and maintain data models, schemas, and architectures for modern data platforms
- Ensure reliability, performance, and data quality across pipelines and platforms
- Contribute to DevOps and CI/CD practices for data and backend services
- Document designs, workflows, and best practices to support team knowledge sharing
Requirements
- 5+ years of professional experience in software engineering with 3+ years of backend development in Java, Spring Boot, or Python, and 3+ years of experience with UNIX/Linux and shell scripting
- 2+ years of experience building high-volume ETL/ELT data pipelines using distributed computing tools (Spark, Kafka) with hands-on experience in real-time streaming and data modeling, technical architectures, and infrastructure design for data platforms
- 2+ years of experience with SQL databases (PostgreSQL - including query optimization and migration), NoSQL databases (MongoDB, Redis, Cassandra, or Neo4j), and data warehousing platforms (Databricks, Snowflake, or Redshift)
- 2+ years of experience with cloud platforms (AWS, Azure, or GCP) and DevOps tools and practices (Docker, Git, GitHub Actions), including 1+ year with containerized deployments (Kubernetes, AKS)
- 2+ years of experience with data modeling, technical architectures, and infrastructure design for data platforms, * Experience building Agentic AI or AI-powered tooling
- Strong understanding of CI/CD, automation, and DevOps best practices
- Experience with API design and development
- Familiarity with microservices and service-oriented architectures
- Experience working with complex systems and solving large-scale analytical problems
- Strong collaboration and communication skills across technical and non-technical teams
- Familiarity with Agile or SAFe development methodologies
- Google Professional Data Engineer certification
- Healthcare domain experience, Bachelor's degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience).
Benefits & conditions
services. 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. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Anticipated Weekly Hours 40
Time Type Full time
Pay Range
The typical pay range for this role is:
$83,430.00 - $222,480.00
This 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 our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
- Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
