Senior Data Engineer, Health Analytics & Pipelines

CVS Health; California City (CA); On-site; USD 83,000 - 222,000; Full time

Benefits offered by this job

Medical insurance

Paid time off

Retirement savings

Job summary

CVS Health is hiring a Sr. Data Engineer to design and implement data pipelines powering analytics and data science workloads. You will model the Core Data Domain and partner with analysts to deliver scalable, cost-efficient solutions.

You will drive data quality, governance, and documentation while collaborating with data scientists, engineers, and product owners across a modern cloud environment.

Qualifications

• 5+ years of applicable work experience.
• Strong proficiency in SQL and experience in developing complex queries.
• 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 optimise 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 optimise 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 modelling, and building data marts.

Skills

SQL proficiency

Data modeling

Python

ETL pipelines

Education

Bachelor's degree

Tools

Azure

AWS

GCP

Job description

CVS Health is hiring a Sr. Data Engineer to design and implement data pipelines powering analytics and data science workloads. You will model the Core Data Domain and partner with analysts to deliver scalable, cost-efficient solutions.

You will drive data quality, governance, and documentation while collaborating with data scientists, engineers, and product owners across a modern cloud environment.