Senior Data Engineer — Cloud Data Pipelines & Analytics

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

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health Corporation in Idaho is seeking a Sr. Data Engineer to design and implement data pipelines powering analytics and data science workloads. This hands-on role requires strong data engineering practices and translating business requirements into scalable technical solutions.

You will help model the Core Data Domain to support various access patterns and collaborate with data scientists and analysts to deliver reliable, governed data solutions across the organization.

Qualifications

• Strong SQL skills with complex queries.
• Experience in Python for ETL pipelines.
• Experience deploying data pipelines in cloud environments (Azure/AWS/GCP).
• Knowledge of data governance best practices in cloud environments.
• Excellent communication and interpersonal skills for cross-functional collaboration.
• Understanding of data warehousing concepts and dimensional modeling.

Responsibilities

• Design and implement data pipelines for analytics and ML workloads.
• Model core data domain to support various access patterns and use-cases.
• Develop and optimize data models and schemas for analytics and reporting.
• Collaborate with data scientists and analysts to deliver data solutions.
• Ensure data quality and governance standards across pipelines.
• Provide documentation and mentor junior data engineers.

Skills

SQL

Python

ETL/ELT

Cloud Computing

Data Modeling

Data Governance

Communication

Education

Bachelor's degree

Job description

CVS Health Corporation in Idaho is seeking a Sr. Data Engineer to design and implement data pipelines powering analytics and data science workloads. This hands-on role requires strong data engineering practices and translating business requirements into scalable technical solutions.

You will help model the Core Data Domain to support various access patterns and collaborate with data scientists and analysts to deliver reliable, governed data solutions across the organization.