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Senior Data Engineer

https://www.cvshealth.com/ Logo

CVS Health

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

83430.00 - 222480.00 USD / Year
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Job Description:

We're seeking a Sr. Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for financial and analytic workloads.

Job Responsibility:

  • Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources
  • Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs
  • Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access
  • Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements
  • Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models
  • Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers
  • Design and architect data infrastructure analytical workloads

Requirements:

  • 5+ years of applicable work experience
  • Proficiency in Python, specifically with ETL pipelines
  • Strong proficiency in SQL and experience in developing complex queries
  • Familiarity with pySpark, DBT, or other similar frameworks
  • Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP)
  • Understanding of data warehousing concepts, dimensional modeling, and building data marts
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners

Nice to have:

  • Knowledge of data governance best practices in a cloud environment
  • Experience with data design in BigQuery
  • Experience working with the Epic data model
  • Experience working with healthcare data (Claims and Admissions)
What we offer:
  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • Employee stock purchase plan
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
  • Paid time off
  • Flexible work schedules
  • Family leave
  • Dependent care resources
  • Colleague assistance programs
  • Tuition assistance
  • Retiree medical access

Additional Information:

Job Posted:
February 22, 2026

Expiration:
March 06, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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