Senior Data Engineer

CVS Health is committed to building a more connected and compassionate health experience. They are seeking a Senior Data Engineer to design and implement data pipelines that support analytical capabilities and collaborate with data scientists and analysts to create data solutions.

Responsibilities:

• Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources
• Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs
• Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access
• Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements
• Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models
• 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
• College degree or certification in related fields
• 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)