Senior Data Engineer

CVS Health

Closes in 3 days Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $92,700–$222,480 / yr
Posted: 2 days ago
Closes: Jun 9, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k

This role $158k

$77k most similar roles pay here $238k

This role pays less than 66% of similar roles. Most pay $140,418–$211,200 — the shaded band above. At the midpoint, this role pays about $158k versus about $176k 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 156 open roles on FindRole.

Listed pay typically runs $118,450–$260,590 across 152 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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We are looking for a Senior Data Engineer to join our innovative team, responsible for designing and maintaining scalable cloud-native data pipelines and microservices using GCP, Azure, or AWS. The role involves developing Python-based APIs (Flask/FastAPI) for seamless data access and service orchestration, implementing advanced SQL analytics in BigQuery, and architecting AI-driven workflows to support intelligent automation. You will 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. The ideal candidate has 5+ years of hands-on experience as a Data Engineer in cloud environments, proficiency in Python, Flask/FastAPI, microservices architecture, data ingestion patterns, advanced SQL skills, and knowledge of AI-based workflows. Experience with orchestration tools like Airflow or Dataflow is preferred.

Skills

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

What you'll do

Design and maintain scalable cloud-native data pipelines and microservices.
Develop Python-based APIs to enable seamless data access and service orchestration.
Implement advanced SQL analytics and transformations in BigQuery or similar platforms.
Architect AI-driven workflows for intelligent automation and decision-making.
Orchestrate end-to-end workflow automation integrating LLMs, agents, and data services.

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/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 like Airflow.
Knowledge of CI/CD practices and DevOps for data engineering.

Senior Data Engineer

Adobe

San Jose 22 days ago $177,900–$257,550

Databricks Snowflake SQL dbt Spark AWS Azure GCP Power BI Tableau Looker CI/CD Dataflow Kafka Hadoop Python RACI data governance data quality monitoring alerting systems root-cause analysis

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