Senior Data Engineer - ETL & Analytics Pipelines

CVS Health; Georgia; On-site; USD 83,000 - 222,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a Sr. Data Engineer to design and implement data pipelines powering analytics and data science workloads. The role emphasizes building scalable data models, ETL/ELT processes, and collaboration with data scientists to support BI and ML initiatives.

The ideal candidate has 5+ years of data engineering experience, strong SQL and Python skills, and a track record of deploying pipelines in cloud environments. A bachelor’s degree is preferred.

Qualifications

• 5+ years of applicable data engineering experience.
• Strong proficiency in SQL and ability to develop complex queries.
• Experience in Python for 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 collaboration 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)

Cloud deployments

Data modeling

Data governance

Communication

Education

Bachelor's degree

Tools

ETL pipelines

Job description

CVS Health is seeking a Sr. Data Engineer to design and implement data pipelines powering analytics and data science workloads. The role emphasizes building scalable data models, ETL/ELT processes, and collaboration with data scientists to support BI and ML initiatives.

The ideal candidate has 5+ years of data engineering experience, strong SQL and Python skills, and a track record of deploying pipelines in cloud environments. A bachelor’s degree is preferred.