Senior Data Engineer - ETL & Analytics Architect

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

Benefits offered by this job

Comprehensive benefits

Bonus eligibility

Job summary

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

You will model the Core Data Domain to support varied access patterns and use cases, collaborating with data scientists and analysts to deliver robust data solutions. The role emphasizes hands-on ETL/ELT development, data modeling, and governance, with a focus on optimizing performance and costs across cloud platforms.

Qualifications

• 5+ years of applicable work experience
• Strong proficiency in SQL and capable of developing complex queries
• Experience in Python for ETL pipelines
• Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP)
• Knowledge of data governance in a cloud environment
• Excellent communication and collaboration with data scientists, analysts, and product owners

Responsibilities

• Data Modeling & Architecture: develop data models and schemas for analytics and ML workloads
• Data Pipeline Development: design and build ETL/ELT pipelines from multiple sources
• Performance Optimization: tune, partition, and cluster data to optimize queries and reduce costs
• Data Quality & Governance: implement data quality standards and security policies
• Data Integration & Transformation: collaborate with data scientists to design data solutions for BI and ML
• Documentation & Knowledge Sharing: document pipelines and mentor junior data engineers
• Design and architect data infrastructure for analytical workloads with data warehousing concepts

Skills

SQL

Python

ETL/ELT

Data modeling

Data warehousing

Cloud platforms

Communication

Education

Bachelor's degree

Tools

Azure

AWS

GCP

Job description

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

You will model the Core Data Domain to support varied access patterns and use cases, collaborating with data scientists and analysts to deliver robust data solutions. The role emphasizes hands-on ETL/ELT development, data modeling, and governance, with a focus on optimizing performance and costs across cloud platforms.