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Data Engineer

Job

CAREMARK LLC

Richardson, TX (In Person)

$131,500 Salary, Full-Time

Posted 1 week ago (Updated 13 hours ago) • Actively hiring

Expires 7/23/2026

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Job Description

$157k Per Year Position range in Dallas County $104k - $159k Per Year Data Engineer
CAREMARK LLC
Occupation:
Database Architects
Location:
Richardson, TX - 75081
Job Type:
Regular, Full Time (30 Hours or More), Permanent Employment, Day Shift
Posted:
06/12/2026 Positions available: 10
Source:
WorkInTexas
Web Site:
WorkInTexas Onsite /
Remote:
Work onsite all of the time
Updated:
06/15/2026
Expires:
07/13/2026
Agency Job ID:
R0942490
Job #: 17027131 Job Requirements and Properties Help for Job Requirements and Properties. Work Onsite Full Time Education Bachelor's Degree Experience 60 Month(s) Schedule Full Time Job Type Regular Duration Permanent Employment Hours 40 Hours Per Week Shift Day Shift Public Transit Available Help for . CVS Pharmacy, Inc., a CVS Health company, is hiring for the following role in
Richardson, TX:
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; experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case; design, develop, and implement scalable data engineering pipelines leveraging Generative AI frameworks to enable deterministic, auditable, and reproducible data transformations and actions; design full-stack development initiatives using React, TypeScript, and Python microservices, delivering high-performance web applications and backend services; and integrate machine learning capabilities into data platforms for predictive analytics. Multiple positions.