Data Engineer

CVS Health

Closes tomorrow Remote

Quick summary

Work type: Remote
Location: Hartford, CT
Salary: $79,310–$158,620 / yr
Posted: 5 days ago
Closes: Jun 29, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k

This role $119k

$65k most similar roles pay here $215k

This role pays less than 90% of similar roles. Most pay $126,800–$199,050 — the shaded band above. At the midpoint, this role pays about $119k versus about $163k 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 409 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 · Data Engineer

Role Posting Log in to save

Join a dynamic data engineering team as a Data Engineer to develop large-scale data structures and pipelines that drive business insights and reporting needs. You will write ETL processes, design database systems, and build tools for real-time and offline analytic processing, collaborating closely with cross-functional teams to integrate algorithms into automated workflows. Utilize your expertise in cloud platforms like Google Cloud Platform (GCP), SQL, Python, and workflow orchestration tools such as Apache Airflow to ensure data quality and accessibility standards are met while supporting internal customers and downstream applications. Ideal candidates have 1+ years of experience in a related role, with strong skills in SQL and Python, and familiarity with GCP services like BigQuery and Cloud Composer is preferred.

Skills

Python SQL Git AWS GCP BigQuery Cloud Composer Cloud Storage Apache Airflow CI/CD Docker Kubernetes PostgreSQL Snowflake Terraform Prometheus Grafana

What you'll do

Writes ETL processes to organize and standardize large-scale data structures.
Designs database systems for real-time and offline analytic processing.
Develops tools to integrate algorithms and models into automated processes.
Builds data marts and models to support internal customers and applications.
Ensures data quality and accessibility by integrating data from various sources.
Uses SQL and Python to build robust, scalable data pipelines.
Applies cloud platform knowledge to design and optimize SQL queries.

What we're looking for

1+ years of experience in data engineering or analytics engineering
Proficient in SQL for data transformation and analysis
Experience with Python for data processing or pipeline development
Familiarity with at least one cloud platform (GCP, AWS, Azure)
Experience using version control systems like Git
Ability to design and optimize SQL queries for data pipelines
Builds robust data marts and models to support internal customers

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