Data Engineer

CVS Health

Closes tomorrow Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $72,100–$144,200 / yr
Posted: 5 days ago
Closes: Jun 29, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k

This role $108k

$57k most similar roles pay here $215k

This role pays less than 90% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $108k versus about $162k 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 417 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 142 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, contributing to the development of large-scale data structures and pipelines that drive business insights and reporting needs in the healthcare domain. You will lead portions of initiatives with guidance from senior members, writing ETL processes, designing database systems, and developing tools for real-time and offline analytic processing. Collaborate closely with cross-functional teams to integrate algorithms and models into automated workflows, ensuring data quality and accessibility standards are met across various sources. Utilize Python and SQL extensively, along with experience in cloud platforms like GCP, AWS, or Azure, and workflow orchestration tools such as Apache Airflow for building robust and scalable systems. Ideal candidates have a background in Computer Science or related fields and a curiosity about healthcare data.

Skills

Python SQL Git GCP BigQuery Cloud Composer Cloud Storage Spanner Apache Airflow AWS Azure CI/CD

What you'll do

Develops large-scale data structures and pipelines to organize and standardize data for insights.
Designs database systems and writes ETL processes for real-time and offline analytic processing.
Integrates algorithms and models into automated processes with cross-functional teams.
Builds data marts and models to support internal customers and downstream applications.
Ensures data quality and accessibility standards are met when integrating diverse data sources.

What we're looking for

1+ years of experience in data engineering or analytics engineering roles.
Proficient in SQL for data transformation and analysis.
Experience with Python for developing data pipelines and processing systems.
Familiarity with at least one cloud platform (GCP, AWS, Azure).
Knowledge of version control using Git.
Ability to design and optimize SQL queries for building data pipelines.

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