Senior ETL Data Engineer for Healthcare Analytics

CVS Health; Yuma (AZ); Presencial; USD 83.000 - 222.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Dental coverage

Vision coverage

Paid time off

Retirement savings options

Descripción de la vacante

CVS Health is seeking a Sr. Data Engineer to design and implement scalable data pipelines powering analytics and data science workloads.

The role focuses on modeling the Core Data Domain to support diverse access patterns and use cases across the organization. You will join a dedicated team building datasets for analytics while collaborating with data scientists, analysts, and product owners to translate business requirements into robust technical solutions.

Formación

• 5+ years of data engineering experience.
• Strong SQL and complex query development.
• Python experience for ETL pipelines.
• Experience deploying pipelines in cloud environments (Azure/AWS/GCP).
• Knowledge of data governance in cloud environments.
• Excellent communication and collaboration with data scientists, analysts, and product owners.

Responsabilidades

• Data Modeling & Architecture: develop models/schemas for analytics and ML.
• Data Pipeline Development: design and build ETL/ELT pipelines from multiple sources.
• Performance Optimization: tune, partition, and cluster data for cost efficiency.
• Data Quality & Governance: enforce data quality, governance, and security policies.
• Data Integration & Transformation: collaborate with data scientists to integrate with BI and ML models.
• Documentation & Knowledge Sharing: create docs and mentor junior engineers.
• Design and architect data infrastructure for analytical workloads, including data warehousing concepts and data marts.

Conocimientos

SQL

Python

ETL pipelines

Cloud (Azure/AWS/GCP)

Data modeling

Data governance

Communication

Data warehousing

Educación

Bachelor's degree

Herramientas

Azure

AWS

GCP

Descripción del empleo

CVS Health is seeking a Sr. Data Engineer to design and implement scalable data pipelines powering analytics and data science workloads.

The role focuses on modeling the Core Data Domain to support diverse access patterns and use cases across the organization. You will join a dedicated team building datasets for analytics while collaborating with data scientists, analysts, and product owners to translate business requirements into robust technical solutions.