Senior Data Engineer — Scalable Data Pipelines & Analytics

CVS Health; Eagle (ID); Presencial; USD 83.000 - 222.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental and vision coverage

Paid time off

Retirement savings options

Wellness programs

Descripción de la vacante

CVS Health in the United States is seeking a Sr. Data Engineer to design and implement data pipelines powering analytics. This hands‑on role requires translating business requirements into scalable technical solutions.

You will be part of a dedicated team creating datasets for analytic and data science workloads, and you will model the Core Data Domain to support diverse access patterns and use‑cases.

Formación

• 5+ years of applicable work experience in data engineering.
• Strong proficiency in SQL and developing complex queries.
• Experience building ETL/ELT data pipelines.
• Experience deploying pipelines in Azure, AWS or GCP.
• Knowledge of data governance best practices in cloud environments.
• Excellent communication and collaboration with data scientists and product owners.

Responsabilidades

• Data Modeling & Architecture: Develop and optimise 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 optimise 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 modelling, and building data marts.

Conocimientos

SQL

Python

ETL/ELT

Cloud platforms

Data governance

Communication

Educación

Bachelor's degree

Herramientas

Azure

AWS

GCP

Descripción del empleo

CVS Health in the United States is seeking a Sr. Data Engineer to design and implement data pipelines powering analytics. This hands‑on role requires translating business requirements into scalable technical solutions.

You will be part of a dedicated team creating datasets for analytic and data science workloads, and you will model the Core Data Domain to support diverse access patterns and use‑cases.