Senior Data Engineer: Cloud Analytics Pipelines

CVS Health; Milton (MA); On-site; USD 83,000 - 222,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid time off

Retirement savings options

Job summary

CVS Health is seeking a Sr. Data Engineer to design and implement data pipelines powering analytics, with a focus on modeling the Core Data Domain for varied access patterns. You will work with data scientists and analysts to create robust data solutions.

The role requires strong SQL, Python for ETL, and cloud experience across Azure/AWS/GCP, plus a solid grounding in data governance and scalable data architectures.

Qualifications

• 5+ years of applicable work experience in data engineering or analytics.
• Strong proficiency in SQL and ability to develop complex queries.
• Experience in 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.

Responsibilities

• Design and implement data pipelines powering analytical capabilities.
• Model Core Data Domain to support various access patterns and use-cases.
• Develop and optimize data models and schemas for analytics, reporting, and ML.
• Collaborate with data scientists and analysts to design data solutions integrated with BI tools.

Skills

SQL

Python

ETL/ELT

Cloud

Data modeling

Communication

Education

Bachelor's degree

Tools

Azure

AWS

GCP

Job description

CVS Health is seeking a Sr. Data Engineer to design and implement data pipelines powering analytics, with a focus on modeling the Core Data Domain for varied access patterns. You will work with data scientists and analysts to create robust data solutions.

The role requires strong SQL, Python for ETL, and cloud experience across Azure/AWS/GCP, plus a solid grounding in data governance and scalable data architectures.