Senior Data Engineer
CVS Health · Work at Home, GA
$83,430–$166,860from the description
Jul 25, 2026
Work at Home, GA
Jul 26, 2026
What this job asks for AI summary
A senior-level data engineering role focused on building and maintaining scalable data pipelines, integration frameworks, and cloud-based data solutions to support analytics, reporting, and machine learning. The position involves technical leadership — guiding best practices, mentoring junior engineers, and contributing to data platform modernization — while working across business, data science, and architecture teams. Suits experienced engineers with a strong background in ETL/ELT, SQL, Python or similar languages, and cloud platforms such as AWS, Azure, or Snowflake.
Senior level · 5+ years · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (4)
The degree requirement is effectively None — the JD accepts 'equivalent combination of education and work experience' in lieu of a Bachelor's, and the Master's is explicitly preferred only.
The cloud platform requirement lists AWS, Azure, Snowflake, and GCP as interchangeable examples ('such as'); Snowflake appears again under Preferred as a specific named platform, so it is captured separately there as preferred.
The SOC is a close call between 15-1243 (Database/Data Architects — pipeline and warehouse design) and 15-1252 (Software Developers — the role also writes application-grade code in Python/Java/Scala and supports ML workloads). The primary emphasis on data pipeline design, data integration frameworks, and data platform modernization tips it toward 15-1243.
The pay range is described as 'base hourly rate or base annual full-time salary'; given the role is full-time salaried at 40 hours/week, the figures are treated as annual.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.