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# Sr. Data Engineer

- **Company:** CVS Health
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $114,379.0 - $185,400.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Confluence, JIRA, Big Data, BigQuery, Business Software, Computer Programming, Databases, Data Governance, Extract Transform Load (ETL), Data Mart, Data Warehousing, Relational Databases, Python (Programming Language), Software Engineering, SQL Databases, Google Cloud, Information Technology, Data Pipelines
- **Published:** June 22, 2026
- **Apply:** https://dejobs.org/x/x/2DEB541CFBD64CA48B9EC6C5FF27A738/job/

## About the Role

Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Analytics, Statistics, Mathematics, Engineering, or a related field and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following:

 * Analyzing large data sets from multiple data sources; ;

 * JIRA, Rally, or Confluence;

 * Software Development Life Cycle (SDLC) and best practices;

 * Relational database concepts;

 * Designing data models and solutions for analytical and reporting use cases;

 * Data warehousing;

 * Supporting large data, analytics, and technology modernization initiatives; and

 * Data analysis for retail and/or healthcare industries.

## Description

Position Summary: Caremark LLC., a CVS Health company, is hiring for the following role in Irving, TX: Sr. 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; conduct data requirements assessment and design sessions with customers to analyze and establish clearly defined business requirements; perform detailed qualitative and
quantitative data analysis on source systems based in data warehouses and legacy data marts using SQL and Python; build and deliver the Enterprise Logical and Physical data models that align with the organizational Data Governance policies for various data domains and sub domains within the healthcare business; leverage knowledge of Google Cloud Big Data architecture, Google Cloud Big Query commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, or similar languages to build robust data pipelines as needed; 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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