Senior Data Engineer (Requiring GCP)

CVS Health

Remote

Quick summary

Work type: Remote
Location: Hartford, CTScottsdale, AZFarmers Branch, TXChicago, IL
Salary: $92,700–$203,940 / yr
Posted: 7 days ago
Closes: Jul 8, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k

This role $148k

$79k most similar roles pay here $218k

This role pays less than 66% of similar roles. Most pay $135,000–$204,625 — the shaded band above. At the midpoint, this role pays about $148k versus about $170k 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 152 open roles on FindRole.

Listed pay typically runs $118,450–$260,590 across 149 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Data Engineer (Requiring GCP)

Apply Now Log in to save

Join our dynamic Medicare Member Experience (MX) data science team as a Senior Cloud Engineer and play a pivotal role in transforming machine learning models into production-grade services that support STARS ratings. You will focus on cloud data engineering, backend API development, and DevOps tasks using Google Cloud Platform tools like BigQuery, Composer/Airflow, Dataproc, and Kubernetes. Your daily responsibilities include building and maintaining robust data pipelines, deploying APIs, and ensuring seamless CI/CD processes with GitHub Actions and Jenkins. Proficiency in Python, SQL, Docker, and Kubernetes is essential, alongside experience with container orchestration and cloud reliability practices. Ideal candidates have a background in healthcare or regulated environments and can effectively communicate technical concepts to non-technical stakeholders.

Skills

Google Cloud Platform BigQuery Docker Kubernetes GKE Python SQL GitHub Actions Jenkins Infrastructure-as-code CI/CD Vertex AI Apache Spark Cloud SQL PostgreSQL

What you'll do

Design and maintain cloud infrastructure using Google Cloud Platform services.
Develop and deploy backend APIs and cloud-native services efficiently.
Build and operate data pipelines and ETL workflows in production environments.
Create and manage CI/CD pipelines for automated testing and deployment.
Enable the adoption of GenAI capabilities with secure, scalable deployments.
Optimize containerization and orchestration using Docker and Kubernetes/GKE.

What we're looking for

4+ years of industry experience in cloud engineering or related field.
Expertise with Google Cloud Platform services including BigQuery, Composer/Airflow, and Dataproc.
Proficiency in Python for data processing, backend services, and containerization (Docker, Kubernetes).
Strong SQL skills and experience building production-grade data pipelines and ETL workflows.
Experience with CI/CD pipelines and automated testing environments like GitHub Actions or Jenkins.
Bachelor's degree in computer science, engineering, or related field required.

Senior Data Engineer

Adobe

San Jose 31 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

Save