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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** CVS Health - **Location:** New York, NY, United States (Remote available) - **Salary:** $118,102.0 - $173,040.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Business Software, Cloud Computing, Computer Programming, Databases, Extract Transform Load (ETL), Data Mart, Dynamical Systems, Apache Hadoop, Hadoop Distributed File System, Mobile Application Software, Python (Programming Language), SAS (Software), Software Engineering, SQL Databases, Web Applications, Google Cloud, Information Technology, Data Pipelines - **Published:** June 22, 2026 - **Apply:** https://dejobs.org/x/x/62523B4CA9614D5A9A149FF2BBD40B6B/job/ ## About the Role Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, Management and Systems Database Technologies, or a related field and one (1) year of experience in the job offered or related occupation. Requires one (1) year of experience in each of the following: * Analyzing large data sets from multiple data sources; * Programming in Java, Python, or R; * SAS or SQL programming languages; * Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); * Web and mobile applications development; * Testing, quality assurance, and troubleshooting; and * Software development for enterprise or web applications. ## Description Position Summary: Aetna Resources LLC, a CVS Health company, is hiring for the following role in New York, NY: Data Engineer to 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 Hadoop architecture, HDFS commands, and 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. 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