Senior Data Engineer — ETL & Analytics Pipelines

CVS Health; Orangeburg (SC); On-site; USD 83,000 - 222,000; Full time

Job summary

CVS Health is seeking a Sr. Data Engineer to design and implement data pipelines powering analytics and data science workloads. You will model the Core Data Domain, build scalable ETL/ELT processes, and collaborate with data scientists and analysts to enable BI and ML use cases.

This hands-on role requires strong SQL and Python skills and experience deploying pipelines in cloud environments. You will mentor junior engineers and contribute to data governance, security, and documentation.

Qualifications

• 5+ years of applicable work experience.
• 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.

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 proficiency

Python ETL

Communication skills

Education

Bachelor's degree preferred

Tools

Azure

AWS

GCP

Job description

CVS Health is seeking a Sr. Data Engineer to design and implement data pipelines powering analytics and data science workloads. You will model the Core Data Domain, build scalable ETL/ELT processes, and collaborate with data scientists and analysts to enable BI and ML use cases.

This hands-on role requires strong SQL and Python skills and experience deploying pipelines in cloud environments. You will mentor junior engineers and contribute to data governance, security, and documentation.