Senior Data Engineer: Cloud Data Pipelines & Analytics

CVS Health Corporation; Minnesota; Hybrid; USD 83,000 - 222,000; Full time

Job summary

CVS Health is seeking a Senior Data Engineer to design and implement data pipelines powering analytics, reporting, and ML workloads. This hands-on role requires translating business requirements into scalable data solutions and modeling the Core Data Domain for diverse access patterns.

You will collaborate with data scientists and analysts to build robust data platforms, optimize performance, and ensure governance and security across cloud environments.

Qualifications

• Strong proficiency in SQL; ability to develop complex queries.
• Experience in Python for ETL pipelines.
• Experience deploying data pipelines in cloud environments (Azure, AWS, GCP).
• Knowledge of data governance best practices in a cloud environment.
• Excellent communication and interpersonal skills, with collaboration across teams.

Responsibilities

• Data Modeling & Architecture to support analytics and ML.
• Data Pipeline Development for ETL/ELT ingestion across sources.
• Performance Optimization to improve query efficiency and manage costs.
• Data Quality & Governance to enforce standards and security.
• Data Integration & Transformation with BI tools and ML models.
• Documentation & Knowledge sharing; mentor junior engineers.
• Design and architect data infrastructure for analytical workloads; warehousing concepts.

Skills

SQL queries

Python ETL

Cloud data pipelines

Data governance

Communication

Education

Bachelor's degree

Job description

CVS Health is seeking a Senior Data Engineer to design and implement data pipelines powering analytics, reporting, and ML workloads. This hands-on role requires translating business requirements into scalable data solutions and modeling the Core Data Domain for diverse access patterns.

You will collaborate with data scientists and analysts to build robust data platforms, optimize performance, and ensure governance and security across cloud environments.