Senior Data Engineer

CVS Health

Remote Hybrid

Quick summary

Work type
Remote
Location
Wellesley, MA · New York, NY · Hartford, CT
Salary
$101,970–$222,480 / yr
Posted
3 days ago
Closes
Jun 15, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k
This role $162k
$88k most similar roles pay here $237k

This role pays less than 53% of similar roles. Most pay $140,418–$211,200 — the shaded band above. At the midpoint, this role pays about $162k 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

As a Senior Data Engineer at CVS Health, you will join a dynamic team focused on delivering industry-leading data products with a customer-first approach. Your role involves designing and maintaining scalable ETL/ELT pipelines using Google Cloud Platform (GCP) tools like Cloud Dataflow, Composer (Airflow), and Pub/Sub to handle both batch and streaming data. You will build analytical models in BigQuery, optimize for performance and cost efficiency, and ensure compliance with data governance standards. Additionally, you will develop integrations with external systems, set up CI/CD pipelines using Cloud Build or Jenkins, and implement observability features. Leading architectural decisions and mentoring junior engineers are key responsibilities, as is promoting best practices for code quality, version control, and security in a GCP environment. This role requires expertise in Python, SQL, NoSQL, ETL/ELT, data warehousing, and cloud architecture, with a preference for hands-on experience in GCP and knowledge of DevOps principles.

What you'll do

  • Design and develop scalable ETL/ELT pipelines using Cloud Dataflow, Composer (Airflow), and Pub/Sub for batch and streaming data.
  • Build and optimize analytical models in BigQuery with partitioning, clustering, and materialized views for efficiency.
  • Develop integrations with external systems using GCP tools or hybrid approaches like custom Python services on Cloud Functions.
  • Set up automated CI/CD pipelines for deploying data pipeline code and workflows using Cloud Build or GitHub Actions.
  • Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns.

What we're looking for

  • 3+ years of experience with SQL and NoSQL databases
  • 3+ years of hands-on experience building data pipelines in a major cloud platform (GCP)
  • 3+ years of expertise in ETL/ELT processes and query optimization
  • 3+ years of experience with BigQuery for data modeling and technical architectures
  • 3+ years of experience deploying applications on containerized environments like Kubernetes

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