Associate Cloud Data Engineer

CVS Health

Closes in 2 days Hybrid

Quick summary

Work type: Hybrid
Location: Hartford, CT
Salary: $67,980–$135,960 / yr
Posted: 3 days ago
Closes: Jun 30, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $159k

This role $102k

$52k most similar roles pay here $214k

This role pays less than 92% of similar roles. Most pay $126,800–$192,162 — the shaded band above. At the midpoint, this role pays about $102k versus about $159k 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 · Associate Cloud Data Engineer

Role Posting Log in to save

As a Data Engineer at CVS Health’s Enterprise Data Services & Operations (EDSO) team in Hartford, CT, you will play a pivotal role in building and maintaining a modern data ecosystem that supports advanced analytics and AI initiatives across the healthcare business unit. Your day-to-day responsibilities include developing scalable ETL/ELT processes using Python and cloud services like GCP or AWS, collaborating with data scientists to integrate machine learning models into automated workflows, and creating robust data structures for internal customers and third-party administrators. You will leverage agile methodologies to innovate and optimize data pipelines, ensuring efficient data integration and democratization across the enterprise. This role requires hands-on experience in Python, SQL, HQL, and cloud environments, as well as a strong background in problem-solving and critical thinking. Experience in healthcare is preferred but not required, offering an opportunity to contribute to transforming technology and health care at scale.

Skills

Python ETL SQL HQL AWS GCP BigQuery Composer Airflow DataProc Tableau Alteryx ThoughtSpot Bash UNIX CI/CD Agile SAFe

What you'll do

Develops scalable and secure data structures to organize and integrate complex datasets.
Builds efficient ETL/ELT processes using programming languages and cloud services.
Delivers new data products to democratize data access across the enterprise.
Collaborates with data science teams to integrate algorithms into automated processes.
Analyzes complex systems and solves challenging data sourcing and integration issues.

What we're looking for

1+ years of hands-on experience building and deploying data pipelines
Proficiency in Python and at least one ETL tool
Experience with relational databases or Hadoop and strong SQL/HQL understanding
Hands-on public cloud environment (GCP, Azure, AWS) solution-building expertise
Strong problem-solving skills and critical thinking ability
Bachelor's degree in Computer Science, Engineering, Machine Learning, or related field
Preferred: Experience with GCP Cloud services like BigQuery, Composer, Airflow, DataProc

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