Senior Data Engineer - Scalable Health ETL & Analytics

CVS Health; Nebraska; On-site; USD 83,000 - 222,000; Full time

Benefits offered by this job

Comprehensive benefits package

Job summary

CVS Health is seeking a Sr. Data Engineer in the United States to design and implement data pipelines powering analytical capabilities. This hands-on role requires strong data engineering practices and the ability to translate business requirements into technical solutions.

You will help model the Core Data Domain and build scalable systems for analytics, BI, and data science workloads. The role emphasizes collaboration, data governance, and performance optimization in a cloud environment.

Qualifications

• ~5+ years of applicable work experience.
• Strong proficiency in SQL and experience in developing complex queries.
• Experience in Python, specifically with ETL pipelines.
• Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP).
• Knowledge of data governance best practices in a cloud environment.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners.

Responsibilities

• Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.
• 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 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 Understanding of data warehousing concepts, dimensional modeling, and building data marts.

Skills

SQL

Python

ETL/ELT pipelines

Data modeling

Cloud platforms

Communication

Education

Bachelor's degree

Job description

CVS Health is seeking a Sr. Data Engineer in the United States to design and implement data pipelines powering analytical capabilities. This hands-on role requires strong data engineering practices and the ability to translate business requirements into technical solutions.

You will help model the Core Data Domain and build scalable systems for analytics, BI, and data science workloads. The role emphasizes collaboration, data governance, and performance optimization in a cloud environment.