Senior Data Engineer — ETL & Analytics Pipelines

CVS Health; Central City (NE); 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 analytic capabilities. This hands-on role requires expertise in data engineering best practices and translating business requirements into technical solutions.

You will join a dedicated team building datasets for analytics 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 applicable work experience.
• Strong proficiency in SQL with complex queries.
• Experience in Python with ETL pipelines.
• Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP).
• Knowledge of data governance best practices in a cloud setting.
• 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 proficiency

Python ETL

Cloud data pipelines

Data governance

Collaborative communication

Education

Bachelor's degree or equivalent

Tools

Azure

AWS

GCP

Job description

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

You will join a dedicated team building datasets for analytics and data science workloads and play a key role in modeling the Core Data Domain to support various access patterns and use-cases.