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

Market check

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.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Data Engineer

Role Posting Log in to save

Caremark LLC, a CVS Health company, is seeking a Data Engineer in New York, NY, to develop and manage large-scale data structures and pipelines, focusing on efficient ETL workflows for complex business problems. The role involves building robust CI/CD processes using Jenkins and Git, working with cloud platforms like AWS or Azure, and leveraging Hadoop, Spark, and PySpark for big data processing. Candidates will design data architectures, including machine learning infrastructure, and contribute to large-scale applications development. Proficiency in Java, Python, R, and SQL is essential, along with experience in NLP using Scikit-Learn, SpaCy, or PyTorch. The ideal candidate has a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field, complemented by hands-on experience in machine learning algorithms, predictive modeling, and cloud components including cluster management.

Skills

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

What you'll do

Develop and manage large-scale data structures and pipelines for complex business problems.
Build efficient ETL workflows using tools like Jenkins, Git, and CI/CD processes.
Implement machine learning algorithms and predictive models in Python or R.
Design and contribute to big data architectures including cloud components and cluster management.
Work on data warehousing projects and large-scale application development initiatives.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field required.
Experience with CI/CD tools like Jenkins and version control systems such as GIT.
Proficiency in programming languages: Java, Python, R; data science tools: SAS, SQL.
Expertise in cloud platforms: Azure, AWS, GCP for infrastructure management.
Knowledge of big data technologies: Hadoop, Spark, PySpark, Scala, machine learning algorithms.
Skills in designing and implementing data architectures, pipelines, and ETL processes.
Experience with GPU/CPU infrastructure components and natural language processing tools.

Similar roles

Data Engineer

CVS Health

Remote (Hartford, CT) 6 days ago

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

Remote

Save

Data Engineer

CVS Health

Remote (Woonsocket, RI) 6 days ago

Python Java R Hadoop Spark PySpark Scala MySQL SAS SQL Jenkins GIT CI/CD Agile SAFe JIRA Rally Confluence GCP AWS Azure

Remote

Save

Data Engineer

CVS Health

Remote (New York, NY) 6 days ago

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

Remote

Save