Senior Data Engineer: Data Pipelines & Analytics Architect

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

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health Corporation seeks a Senior Data Engineer to design and implement data pipelines powering analytics and data science workloads. You’ll model core data domains, support multiple access patterns, and collaborate with data scientists and analysts to deliver scalable solutions.

The role emphasizes data governance, cloud-based ETL/ELT pipelines, and performance tuning, with mentorship opportunities and a strong culture of safety and quality.

Qualifications

• Strong proficiency in SQL and complex queries.
• Experience in Python for ETL pipelines.
• Cloud deployment of data pipelines (Azure/AWS/GCP).
• Knowledge of data governance in cloud environments.
• Excellent communication and collaboration with data scientists, analysts, and product owners.

Responsibilities

• Model and optimize data models and schemas for analytics and ML requirements.
• Design and build ETL/ELT pipelines from multiple sources.
• Optimize performance via tuning, partitioning and clustering.
• Establish data quality standards and governance policies.
• Collaborate with data scientists and analysts to integrate with BI tools and ML models.
• Create documentation and mentor junior data engineers.
• Design data infrastructure for analytical workloads and data marts.

Skills

SQL

Python

Data modeling

Data governance

Cloud platforms

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Azure

AWS

GCP

Job description

CVS Health Corporation seeks a Senior Data Engineer to design and implement data pipelines powering analytics and data science workloads. You’ll model core data domains, support multiple access patterns, and collaborate with data scientists and analysts to deliver scalable solutions.

The role emphasizes data governance, cloud-based ETL/ELT pipelines, and performance tuning, with mentorship opportunities and a strong culture of safety and quality.