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# Data Engineer

- **Company:** CVS Health
- **Location:** New York, NY, United States (Remote available)
- **Salary:** $118,102.0 - $144,200.0
- **Contract:** Internship / Graduate position
- **Skills:** HTML, Java (Programming Language), JavaScript (Programming Language), Amazon Web Services, Data Analysis, Big Data, Business Software, Cascading Style Sheets (CSS), Computer Programming, Databases, Extract Transform Load (ETL), Data Mart, Dynamical Systems, JSON, Python (Programming Language), Machine Learning, Node.Js, Pattern Recognition, Software Engineering, Extensible Markup Language (XML), Google Cloud, Pytorch, Apache Spark, Git, Scikit Learn, Information Technology, Data Analytics, Data Pipelines
- **Published:** June 22, 2026
- **Apply:** https://dejobs.org/x/x/7B15A70A0ED844438A9753154D97AC2A/job/

## About the Role

Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Electrical Engineering, Computer Information Systems, or a related field and completion of a university-level course, research project, internship, or thesis in each of the following:

GIT;

Java, Python, or Node.js;

XML, JSON, HTML, CSS, or JavaScript;

SAFe Software Development Principles;

Amazon Web Services (AWS) and Google Cloud Platform (GCP);

Machine learning, statistical analysis, and predictive modeling;

NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP);

Contributing to largescale applications development, data science, or data analytics projects;

Quantitative analysis techniques, including clustering, regression, and pattern recognition; and

## Description

Position Summary: Caremark, LLC., a CVS Health company, is hiring for the following role in New York, NY: Data Engineer to analyze data engineering problems and develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; test and maintain systems and troubleshoot malfunctions; leverage knowledge of Google Cloud Platform tools for designing and optimizing queries to build data pipelines; utilize programming skills
in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Telecommuting available. Multiple positions.


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