Build the data pipelines that turn raw information into analytics teams can trust and actually use. If you’re strong in Python + SQL and you enjoy clean, scalable ETL that fuels BI and data science, this role is a solid next step.
About CVS Health
CVS Health is reimagining healthcare to make it more connected, convenient, and compassionate. Their technology and analytics teams help simplify care and improve outcomes for individuals and communities.
Schedule
- Full-time (40 hours/week)
- Remote
- Application window closes: 02/20/2026
What You’ll Do
- Design and build ETL/ELT pipelines to ingest, process, and transform datasets from multiple sources
- Apply performance best practices (tuning, partitioning, clustering) to optimize queries
- Follow data quality standards, governance frameworks, and security policies for storage and access
- Develop and optimize data models and schemas for analytics, reporting, and machine learning
- Partner with data scientists and analysts to integrate datasets with BI tools and ML workflows
- Create clear documentation for pipelines, workflows, and processes
- Collaborate with other Data Engineers and Sr. Data Engineers to design, implement, and test pipelines
What You Need
- 2+ years of relevant experience
- Proficiency in Python (especially ETL pipelines)
- Strong SQL skills with experience writing complex queries
- Experience deploying data pipelines in a cloud environment (Azure, AWS, or GCP)
- Strong communication skills and ability to collaborate across teams
Benefits
- Pay range: $64,890–$173,040/year (based on experience, education, geography, and other factors)
- Medical plan options
- 401(k) with matching contributions and employee stock purchase plan
- No-cost wellness programs, counseling, and financial coaching
- Paid time off and flexible work schedules (eligibility-based)
- Family leave, dependent care resources, and tuition assistance (eligibility-based)
- Retiree medical access and additional benefits depending on eligibility
This one shares the same close date as the senior role, so don’t let it drift.
If you like building sturdy pipelines and leaving the data cleaner than you found it, get after it.
Happy Hunting,
~Two Chicks…