This is a hands-on data engineering role for someone early-to-mid in their journey who can build clean cloud pipelines and make analytics usable. You’ll help create datasets for analytics and data science, working alongside Data Engineers and Sr. Data Engineers to design, implement, and test pipelines that actually hold up in the real world.
About CVS Health
CVS Health is one of the nation’s largest health solutions companies, focused on building a more connected, convenient, and compassionate health experience. This role sits in Innovation and Technology (Data & Analytics) and supports enterprise analytics and data science workloads.
Schedule
- Full-time, 40 hours per week
- Remote
- Application window expected to close: 02/06/2026
What You’ll Do
- Design and build ETL/ELT pipelines to ingest, process, and transform datasets from multiple sources
- Apply performance best practices to improve query speed and efficiency, including:
- Performance tuning
- Partitioning
- Clustering
- Follow data quality standards and support:
- Data governance frameworks
- Security policies for data storage and access
- Develop and optimize data models and schemas for:
- Analytics and reporting
- Machine learning requirements
- Collaborate with data scientists and analysts to integrate data solutions with:
- BI tools
- Machine learning models
- Create clear documentation for pipelines, workflows, and processes
- Work with other Data Engineers and Sr. Data Engineers on designing, implementing, and testing pipelines
What You Need
- 2+ years of applicable work experience
- Python proficiency focused on ETL pipelines
- Strong SQL skills, including complex queries
- Experience deploying data pipelines in a cloud environment, including:
- Azure
- AWS
- GCP
- Strong communication skills and ability to collaborate with data scientists and analysts
- College degree or certification in a related field
Preferred
- Healthcare data experience, especially Epic
- BigQuery experience
- Knowledge of cloud data governance best practices
- Experience working with machine learning processes
Benefits
- Pay range: $64,890–$173,040 (actual offer depends on experience, education, and geography)
- Eligible for bonus, commission, or short-term incentive program in addition to base pay
- Affordable medical plan options
- 401(k) with matching company contributions
- Employee stock purchase plan
- No-cost wellness and support programs, including:
- Wellness screenings
- Tobacco cessation
- Weight management
- Confidential counseling
- Financial coaching
- Paid time off
- Flexible work schedules (where eligible)
- Family leave and dependent care resources
- Tuition assistance (where eligible)
- Additional benefits may apply depending on eligibility
Quick positioning: this one is basically the “build and ship pipelines” role, while the Sr. Data Engineer version expects more ownership, deeper architecture decisions, and heavier mentoring. If someone’s got 2–4 years and wants to level up fast, this is a clean target.
Happy Hunting,
~Two Chicks…