Data Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: Hartford, CT
Posted: 6 days ago
Closes: Jul 6, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $163k

$110k most similar roles pay here $210k

This listing doesn't post a salary. Most similar roles pay $126,800–$199,050.

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 407 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 133 roles with salary data.

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At a glance

TL;DR · Data Engineer

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Aetna Resources, LLC, a CVS Health company, seeks a Data Engineer in Hartford, CT, with opportunities for telecommuting. This role involves developing and managing large-scale data structures and ETL workflows using technologies like Spark, PySpark, Scala, MySQL, NoSQL, PowerBI, Tableau, and the PyData ecosystem. The ideal candidate will have expertise in designing efficient data pipelines, optimizing queries, and deploying predictive models in cloud environments such as GCP, AWS, or Azure. Additionally, proficiency in machine learning, statistical analysis, NLP with frameworks like Scikit-learn, SpaCy, PyTorch, and Spark NLP is required. The position demands a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field, along with relevant coursework and experience in the aforementioned technologies and tools.

Skills

Python Java R Spark PySpark Scala MySQL NoSQL PowerBI Tableau NLP Scikit-learn Spacy PyTorch Spark NLP Vertex-AI GCP AWS Azure

What you'll do

Develop and manage large-scale data structures and pipelines using Java, Python, and R.
Design and optimize ETL workflows for complex business problems.
Implement machine learning models in cloud environments like GCP or Azure.
Utilize Spark, PySpark, Scala, and other tools to process big data efficiently.
Create visualizations with PowerBI and Tableau to communicate insights effectively.
Build and deploy predictive models using Vertex-AI and the PyData ecosystem.
Design data architectures including distributed computing engines and ML infrastructure.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field required.
Proficiency in Java, Python, and R programming languages.
Expertise in Spark, PySpark, Scala, MySQL, NoSQL, PowerBI, Tableau.
Experience designing and optimizing data pipelines and queries.
Knowledge of machine learning, statistical analysis, predictive modeling.
Skills in NLP tools (Scikit, SpaCy, PyTorch, Spark NLP).
Cloud deployment experience for ML systems (GCP, AWS, Azure).

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AWS Azure GCP Python Java R Spark PySpark Scala SAS SQL Hadoop HDFS CI/CD Jenkins GIT Machine learning Statistical analysis Predictive modeling NLP Scikit-Learn Spacy Pytorch Spark NLP ETL Data warehousing Big Data Distributed computing

Remote

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