Senior Data Engineer - Cloud Pipelines & Analytics

CVS Health Corporation; Town of Texas (WI); Hybrid; USD 83,000 - 222,000; Full time

Benefits offered by this job

Comprehensive benefits package

Bonus eligibility

Job summary

CVS Health Corporation seeks a Sr. Data Engineer to design and implement data pipelines powering analytical capabilities.

This hands-on role requires translating business requirements into scalable technical solutions and modeling the Core Data Domain for multiple access patterns. You will join a team building datasets for analytics and data science workloads, ensuring governance and security across cloud environments.

Qualifications

• Strong proficiency in SQL and experience in developing complex queries.
• Experience in Python, specifically with ETL pipelines.
• Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP).
• Knowledge of data governance best practices in a cloud environment.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners.

Responsibilities

• Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.
• Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources.
• Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs
• Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access.
• Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models
• Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers.
• Design and architect data infrastructure analytical workloads. Understanding of data warehousing concepts, dimensional modeling, and building data marts.

Skills

SQL

Python

ETL pipelines

Cloud platforms

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 analytical capabilities.

This hands-on role requires translating business requirements into scalable technical solutions and modeling the Core Data Domain for multiple access patterns. You will join a team building datasets for analytics and data science workloads, ensuring governance and security across cloud environments.