Data Engineer

CVS Health • Rathdrum, ID

1d

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We're seeking a 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 analytic and data science workloads. You will work with other Data Engineers and Sr. Data Engineers on designing, implementing, and testing data pipelines.

Requirements

• 2+ years of applicable work experience
• Proficiency in Python, specifically with ETL pipelines
• Strong proficiency in SQL and experience in developing complex queries
• Experience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP)
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts.

Nice To Haves

• Experience working with healthcare data, especially Epic.
• Experience using GCP’s BigQuery
• Knowledge of data governance best practices in a cloud environment.
• Experience working with Machine Learning processes.

Responsibilities

• Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources.
• Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries.
• Data Quality & Governance: follow 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.

Benefits

• This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families.
• The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
• Additional details about available benefits are provided during the application process and on Benefits Moments.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees