Senior Data Engineer – ETL & Analytics Pipelines

CVS Health; Montana City (MT); On-site; USD 83,000 - 222,000; Full time

Job summary

CVS Health is seeking a Sr. Data Engineer to design and implement data pipelines powering analytics.

This hands‑on role requires expertise in data modeling, ETL/ELT processes, and cloud deployments across Azure, AWS or GCP. You will join a dedicated team building datasets for analytics and data science workloads, shaping the Core Data Domain to support diverse access patterns and use cases while collaborating with data scientists and product owners.

Qualifications

• 5+ years of relevant work experience.
• Strong ability to write and optimize complex SQL queries.
• Experience with Python for 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 collaboration 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

5+ years experience

SQL proficiency

Python ETL

Cloud data pipelines

Data governance

Communication skills

Education

Bachelor's degree

Tools

Azure

AWS

GCP

SQL tooling

Job description

CVS Health is seeking a Sr. Data Engineer to design and implement data pipelines powering analytics.

This hands‑on role requires expertise in data modeling, ETL/ELT processes, and cloud deployments across Azure, AWS or GCP. You will join a dedicated team building datasets for analytics and data science workloads, shaping the Core Data Domain to support diverse access patterns and use cases while collaborating with data scientists and product owners.