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# Sr. Data Engineer

- **Company:** CVS Health
- **Location:** Irving, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $114,379.0 - $185,400.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Query Performance, Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Databases, Data Validation, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Visualization, Data Warehousing, Python (Programming Language), Machine Learning, Cloud Services, SAS (Software), Software Engineering, SQL Databases, Data Processing, Google Cloud, Apache Spark, Data Lakes, Pyspark, Information Technology, Data Analytics, Data Pipelines
- **Published:** August 20, 2026
- **Apply:** https://www.juju.com/job/00000000go0a93

## About the Role

Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, 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: Programming in Java, Python, or R; Agile methodologies or SAFe Software Development Principles; Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); SAS or SQL programming languages; Spark, PySpark, or Scala; Machine learning, statistical analysis, or predictive modeling; Software development lifecycle; Software testing, quality assurance, and troubleshooting; Writing Extract/Transform/Load (ETL) processes; and Data analytics, data engineering, and data visualization.

## Description

CVS Shared Services Resources LLC, a CVS Health company, is hiring for the following role in Irving, TX: Sr. Data Engineer to Design, build, and maintain large-scale data infrastructure and data processing systems. Duties include: Ensure seamless integration of data from different sources, such as databases, application programming interfaces (APIs), or streaming platforms; optimize data processing and query performance by fine-tuning data pipelines, database configurations, and data partitioning strategies; establish data quality checks and validations to identify and resolve data issues, ensuring high-quality and reliable data for downstream applications and analytics; implement security measures to protect sensitive data throughout the data lifecycle by working closely with security teams to ensure data encryption, access controls, and compliance with data protection regulations; collaborate with cross-functional teams, including data scientists, analysts, software
engineers, and business stakeholders; design and develop data infrastructure, including data warehouses, data lakes, and data pipelines; establish auditing and monitoring mechanisms to track data access and maintain data governance standards; establish monitoring and alerting mechanisms to identify bottlenecks, latency, or failures, and troubleshoot data-related problems, investigate root causes, and implement remediation measures; and explore new frameworks, platforms, or cloud services that can enhance data processing capabilities.

Hybrid position: remote work permitted but must live within commuting distance of designated office location and remain available to report to office as needed and required. Multiple positions.


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