Senior Data Engineer: Cloud ETL & Analytics Architect

CVS Health; Accident (MD); 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 Senior Data Engineer to design and implement data pipelines powering analytics and data science workloads. You will model the core data domain, optimize data architectures, and collaborate with data scientists to deliver robust BI and ML-ready data solutions.

The role requires strong SQL and Python skills, 5+ years of data engineering experience, and cloud experience (Azure, AWS, GCP).

Qualifications

• 5+ years of applicable work experience in data engineering or similar.
• Strong proficiency in SQL and complex queries.
• Experience with Python for ETL pipelines.
• Experience deploying data pipelines in cloud environments (Azure, AWS, GCP).
• Knowledge of data governance best practices in cloud environments.

Responsibilities

• Design and implement data pipelines for analytics, reporting, and ML workloads.
• Develop and optimize data models and schemas for analytics and data science.
• Collaborate with data scientists and analysts to integrate data solutions with BI and ML models.
• Establish data quality standards and governance policies for secure data storage and access.

Skills

SQL proficiency

Python

Communication

Education

Bachelor's degree

Tools

Azure

AWS

GCP

Job description

CVS Health is seeking a Senior Data Engineer to design and implement data pipelines powering analytics and data science workloads. You will model the core data domain, optimize data architectures, and collaborate with data scientists to deliver robust BI and ML-ready data solutions.

The role requires strong SQL and Python skills, 5+ years of data engineering experience, and cloud experience (Azure, AWS, GCP).