Data Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: New York, NY
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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As a Data Engineer at Caremark, LLC., a CVS Health company in New York, NY, you will join the Data Science team to develop and manage large-scale data structures and pipelines, focusing on ETL workflows to support business applications. Your daily tasks include writing efficient ETL processes, designing database systems, and developing tools for real-time and offline analytics. You will collaborate with the Data Science team to integrate algorithms into automated processes, test and maintain systems, and troubleshoot issues. Leveraging Google Cloud Platform (GCP) and AWS, you will build robust data pipelines using Python or Java, create data marts and models, and ensure adherence to data quality standards. With expertise in machine learning, statistical analysis, and NLP tools like Scikit-Learn and Pytorch, you will contribute to large-scale projects and advise on new technologies to optimize solutions for complex business problems.

Skills

Python Java AWS GCP Git SAFe NLP Scikit-Learn SpaCy PyTorch Spark NLP Machine Learning Statistical Analysis Predictive Modeling Quantitative Analysis Clustering Regression Pattern Recognition Feature Engineering Distributed Model Training

What you'll do

Develop large-scale data structures and pipelines to organize and standardize data for business insights.
Write ETL processes and design database systems to improve existing analytic capabilities.
Collaborate with Data Science team to integrate algorithms into automated processes.
Test, maintain, and troubleshoot data systems using Google Cloud Platform tools.
Build robust data pipelines and dynamic systems using Python or Java programming skills.
Create data marts and models to support internal customers' needs and standards.

What we're looking for

Master’s degree in Computer Science or related field with relevant coursework
Experience with Java, Python, and cloud platforms like AWS and GCP
Proficiency in machine learning, statistical analysis, and predictive modeling
Knowledge of NLP tools such as Scikit-Learn, SpaCy, PyTorch, and Spark NLP
Expertise in developing large-scale data pipelines and ETL processes
Ability to collaborate with Data Science teams on automated processes
Strong quantitative analysis skills including clustering and regression techniques