Join Our Team as an Associate Cloud Data Engineer at CVS Health

Bring your heart to CVS Health. At CVS Health, our purpose is clear: Bringing our heart to every moment of your health. This mission informs our commitment to providing human-centric health care in a rapidly evolving world. With heart at the center of our brand, how we deliver services is as crucial as the services themselves.

Our Heart At Work Behaviors™ support this purpose, empowering everyone at CVS Health to contribute to transforming our culture and accelerating our ability to innovate. Join us and help make health care more personal, convenient, and affordable.

Position Summary

At CVS Health, our vision is to reimagine health care by putting people at the center of all we do. Our bold strategy drives us to deliver personalized, connected, and increasingly digital health care solutions. The Enterprise Data Services & Operations (EDSO) team plays a key role in this vision by building a connected data ecosystem that leverages data, analytics, and advanced AI.

We are seeking passionate and motivated Data Engineers to join our growing team. You'll have the opportunity to transform technology and health care, making our vision a reality. Training and development are integral to this role. You must be able to commute to one of our following office locations: Blue Bell, PA; Chantilly, VA; Florham Park, NJ; Harrisburg, PA; Hartford, CT; Jacksonville, FL; Orlando, FL; Wellesley, MA; Woonsocket, RI. This is a hybrid role requiring three days onsite in the Aetna offices in Hartford, CT.

Responsibilities

• Develop scalable, repeatable, and secure data structures and pipelines to organize, collect, standardize, and integrate data for insights and reporting.
• Build efficient, high-quality, integrated, and increasingly real-time ETL/ELT processes using various tools, programming languages, and services.
• Deliver data capabilities and new data products to accelerate data investments and democratize data across the enterprise and within the Health Care Business unit.
• Collaborate with the data science team to transform data and integrate algorithms and models into automated processes.
• Build data models, data marts, and extracts to support Data Science, internal customers, and third-party administrators.
• Analyze data, understand complex systems, and solve challenging data sourcing and integration problems.
• Promote engineering excellence by simplifying, optimizing, and automating processes and workflows.
• Innovate by leveraging and practicing agile techniques to enhance efficiency, productivity, and processes.

Required Qualifications

• 1+ years of hands-on experience building and deploying data pipelines.
• 1+ years' experience using Python and any ETL tool.
• Working experience in Relational databases or Hadoop with a strong understanding of SQL or HQL.
• Hands-on experience in building solutions in public cloud environments (GCP, Azure, or AWS).
• Strong problem-solving skills and critical thinking ability.

Preferred Qualifications

• Experience building ETL data pipelines in Ab-Initio or equivalent technology.
• Experience with GCP Cloud services such as Big Query, Composer, Airflow, DataProc.
• Working background with tools like Tableau, Alteryx, and/or ThoughtSpot.
• Basic understanding of some ETL Tools (e.g., AbInitio, Native BigQuery).
• Experience with bash shell scripts, UNIX utilities & UNIX Commands, CI/CD.
• Agile practice experience with methodologies like SAFe.
• Healthcare domain experience is a plus.

Education

Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or a related discipline. A Master’s degree or PhD is preferred.

Pay Range

The typical pay range for this role is $64,890.00 - $131,800.00. This pay range represents the base hourly rate or base annual full-time salary for positions in this job grade. The actual base salary offer will depend on various 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