Senior Data Engineer: ETL & Analytics Pipelines

CVS Health; South Dakota Park (SD); 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 analytical capabilities. This hands-on role requires expertise in data engineering practices and translating business requirements into technical solutions.

You will help create datasets for analytic and data science workloads and play a key role in modeling the Core Data Domain to support various access patterns and use-cases.

Qualifications

• 5+ years of relevant data engineering experience.
• Proficient in SQL and complex query development.
• Python expertise for ETL pipelines and data workflows.
• Experience deploying pipelines in cloud environments (Azure/AWS/GCP).
• Knowledge of data governance practices.

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

5+ years experience

SQL proficiency

Python ETL

Cloud data pipelines

Data governance knowledge

Communication skills

Education

Bachelor's degree

Tools

Azure

AWS

GCP

Job description

CVS Health is seeking a Sr. Data Engineer to design and implement data pipelines powering analytical capabilities. This hands-on role requires expertise in data engineering practices and translating business requirements into technical solutions.

You will help create datasets for analytic and data science workloads and play a key role in modeling the Core Data Domain to support various access patterns and use-cases.