Senior Data Engineer - Cloud Pipelines & Analytics

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

Benefits offered by this job

Bonus potential

Benefits package

Job summary

CVS Health Corporation in the United States is seeking a Sr. Data Engineer to design and implement data pipelines powering analytical capabilities. This hands‑on role requires deep experience in data engineering practices and translating business requirements into scalable technical solutions.

You will join a dedicated team creating datasets for analytic workloads and play a key role in modeling the Core Data Domain to support various access patterns and use cases.

Qualifications

• Strong SQL and ability to write complex queries.
• Experience with Python for ETL pipelines.
• Experience deploying data pipelines in Azure, AWS, or GCP.
• Knowledge of data governance in cloud environments.
• Excellent communication and collaboration with data scientists and analysts.

Responsibilities

• Design and implement data pipelines for analytics and ML workloads.
• Model Core Data Domain to support access patterns.
• Develop and optimize data models and schemas for BI and ML.
• Collaborate with data scientists and analysts to integrate with BI tools.
• Create documentation for pipelines, workflows, and processes.
• Mentor junior data engineers and share best practices.
• Architect data infrastructure for analytical workloads and data marts.

Skills

SQL

Python

Cloud platforms

Data governance

Communication

Education

Bachelor's degree

Job description

CVS Health Corporation in the United States is seeking a Sr. Data Engineer to design and implement data pipelines powering analytical capabilities. This hands‑on role requires deep experience in data engineering practices and translating business requirements into scalable technical solutions.

You will join a dedicated team creating datasets for analytic workloads and play a key role in modeling the Core Data Domain to support various access patterns and use cases.