Senior Data Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: Irving, TXWoonsocketWellesleyNew York, NYBlue Bell
Salary: $92,700–$222,480 / yr
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k

This role $158k

$77k most similar roles pay here $238k

This role pays less than 65% of similar roles. Most pay $135,000–$202,859 — the shaded band above. At the midpoint, this role pays about $158k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 138 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 135 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Data Engineer

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Join us as a Senior Data Engineer to design and maintain scalable cloud-native data pipelines and microservices on GCP or equivalent platforms, focusing on Python-based API development with Flask/FastAPI for seamless data access and service orchestration. You will build advanced SQL analytics in BigQuery and architect AI-driven workflows integrating LLMs and agents for intelligent automation. Collaborate closely with Data Science, ML, and Product teams to deliver secure, production-grade solutions while ensuring best practices in code quality, testing, observability, and documentation. Ideal candidates have 5+ years of hands-on experience in cloud environments, proficiency in Python, Flask/FastAPI, microservices architecture, data ingestion patterns, and advanced SQL skills, with a preference for experience with orchestration tools like Airflow or Dataflow and familiarity with MLOps practices.

Skills

Python Flask FastAPI GCP BigQuery SQL Airflow CI/CD MLOps DevOps Pub/Sub Cloud Functions Vertex AI Azure Data Factory AWS Glue RAG Kubernetes

What you'll do

Design and maintain scalable cloud-native data pipelines and microservices.
Build and optimize frameworks for data ingestion from diverse sources.
Develop Python-based APIs to enable seamless data access and integration.
Implement advanced SQL analytics in BigQuery or similar platforms.
Architect AI-driven workflows for intelligent automation and decisioning.

What we're looking for

5+ years of hands-on experience as a Data Engineer in cloud environments.
Proficiency in Python and experience with Flask or FastAPI for API development.
Strong understanding of microservices and cloud-native architectures (GCP preferred).
Advanced SQL skills for data analysis and pipeline development.
Experience working with AI-based workflows and orchestration tools.

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