CVS Health

Compensation

Full Description

Description: • Lead data modeling and data product delivery • Manage a team of data engineers, ensuring timely delivery of projects • Provide technical leadership and guidance, collaborating with other engineering teams and product owners • Oversee the design and buildout of ETL/ELT data pipelines • Implement best practices for performance tuning, partitioning, and clustering • Establish and enforce data quality standards, data governance frameworks, and security policies • Create comprehensive documentation for data pipelines, workflows, and processes • Share best practices and mentor junior data engineers. Requirements: • 7 years of applicable 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. Benefits: • 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 • Benefit solutions that include paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.