Build the pipelines that make analytics real: clean, fast, trustworthy data that teams can actually use. If you love turning messy sources into scalable datasets and you can balance performance, governance, and business needs, this role is your lane.
About CVS Health
CVS Health is a leading health solutions company serving millions through local presence and digital channels. With 300,000+ colleagues, they’re focused on making care more connected, convenient, and compassionate.
Schedule
- Remote (available in 50 locations)
- Full-time, 40 hours/week
- Application window expected to close 12/29/2025
What You’ll Do
⦁ Design and build ETL/ELT pipelines to ingest, process, and transform large datasets from multiple sources
⦁ Tune performance using partitioning, clustering, and other best practices to optimize queries and control cost
⦁ Establish and enforce data quality standards, governance frameworks, and security policies for access and storage
⦁ Develop and optimize data models and schemas for analytics, reporting, and machine learning needs
⦁ Partner with data scientists and analysts to integrate datasets with BI tools and ML workflows
⦁ Create clear documentation for pipelines, workflows, and processes, and share best practices
⦁ Mentor junior data engineers and contribute to a strong engineering culture
⦁ Help design and architect data infrastructure for analytical workloads
What You Need
⦁ 5+ years of applicable work experience
⦁ Strong Python skills, specifically building ETL pipelines
⦁ Strong SQL skills, including complex query development
⦁ Familiarity with pySpark, dbt, or similar frameworks
⦁ Experience deploying data pipelines in a cloud environment (Azure, AWS, or GCP)
⦁ Understanding of data warehousing concepts, dimensional modeling, and building data marts
⦁ Strong communication skills and ability to collaborate with cross-functional teams
Benefits
⦁ Affordable medical plan options
⦁ 401(k) with company match and employee stock purchase plan
⦁ Wellness programs, confidential counseling, and financial coaching
⦁ Paid time off, flexible schedules, family leave, dependent care resources, colleague assistance programs, and tuition assistance (eligibility varies)
This one closes 12/29/2025, so don’t “circle back” your way out of a good opportunity.
If you’re ready to engineer data that executives trust and analysts love, shoot your shot.
Happy Hunting,
~Two Chicks…