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Senior Data Engineering Manager

https://www.cvshealth.com/ Logo

CVS Health

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Location:
United States, Work at Home, Illinois

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

130295.00 - 260590.00 USD / Year

Job Description:

Lead and mentor data engineering team to scale data platform, establish best practices, and deliver on business data needs. Responsible for processing Claims, Revenue, and Medicare Specific files and data from 30+ payors into Data Warehouse.

Job Responsibility:

  • Lead, mentor, and grow team of 6-8 data engineers
  • Manage hiring, training, and professional development
  • Conduct performance reviews and provide feedback
  • Own technical vision and roadmap for data platform
  • Lead design, development, and maintenance of data pipelines and data warehouses
  • Drive best practices in data modeling, ETL/ELT processes, and data governance
  • Oversee implementation of new data technologies and architectures
  • Partner with product managers, data scientists, analysts, and other engineering teams
  • Ensure data platform meets standards for performance, security, and data quality
  • Establish culture of operational excellence including monitoring and incident response
  • Manage and optimize data infrastructure costs

Requirements:

  • Bachelor's or master's degree in Computer Science, Data Science, or related field
  • 7+ years of experience in data engineering
  • 5+ years in technical leadership or management role
  • Experience building and leading high-performing data engineering teams
  • Deep expertise with cloud platforms (AWS, Azure, or GCP)
  • Experience with big data frameworks (Apache Spark, Hadoop)
  • Experience with data warehousing solutions (Snowflake, Redshift, BigQuery)
  • Experience with workflow orchestration tools (Airflow, Dagster)
  • Solid experience with SQL, Python, PySpark
  • Excellent communication, interpersonal, and leadership skills
  • Strategic mindset with ability to balance long-term vision with immediate business needs
  • Experience with real-time data streaming technologies (Kafka)

Nice to have:

  • Familiarity with healthcare data and healthcare insurance feeds
  • Familiarity with Data Analytics and reporting
  • Familiarity with ML/AI
What we offer:
  • Affordable medical plan options
  • 401(k) plan with matching company contributions
  • Employee stock purchase plan
  • 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:
October 09, 2025

Expiration:
January 19, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:
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