Senior Data Engineer, Data Pipelines & Analytics

CVS Health Corporation; Wyoming (OH); Hybrid; USD 83,000 - 222,000; Full time

Benefits offered by this job

Bonus program

Job summary

CVS Health Corporation seeks a Sr. Data Engineer to design and implement data pipelines powering analytics across the enterprise.

The role focuses on translating business requirements into scalable technical solutions and implementing robust data models for various analytic workloads. You will collaborate with data scientists and analysts, shaping the Core Data Domain to support diverse access patterns and use cases.

Qualifications

• Bachelor's degree or equivalent professional qualification.
• Strong SQL and advanced query skills.
• Experience with Python in ETL workflows.
• Experience deploying pipelines in cloud environments (Azure/AWS/GCP).
• Knowledge of data governance best practices in cloud.
• Excellent communication and collaboration with data teams.

Responsibilities

• Model and architect data structures to support analytics, reporting, and ML needs.
• Design and build ETL/ELT pipelines from multiple sources.
• Tune performance, partitioning, and clustering to reduce costs.
• Establish and enforce data quality and governance standards.
• Collaborate with data scientists and analysts to deliver BI-ready data.
• Create clear documentation and share best practices with junior engineers.
• Design and architect data infrastructure for analytical workloads and data marts.

Skills

SQL

Python

ETL pipelines

Cloud environments

Data governance

Communication

Education

Bachelor's degree

Tools

Azure

AWS

GCP

Job description

CVS Health Corporation seeks a Sr. Data Engineer to design and implement data pipelines powering analytics across the enterprise.

The role focuses on translating business requirements into scalable technical solutions and implementing robust data models for various analytic workloads. You will collaborate with data scientists and analysts, shaping the Core Data Domain to support diverse access patterns and use cases.