Senior Data Engineer: Cloud Data Pipelines & Analytics

CVS Health; Bristol (RI); Presencial; USD 83.000 - 222.000; Tempo integral

Benefícios oferecidos por esta vaga

Medical coverage

Paid time off

Retirement savings options

Wellness programs

Resumo da vaga

CVS Health is seeking a Sr. Data Engineer to design and implement data pipelines powering analytical capabilities. You will translate business requirements into technical solutions and shape the Core Data Domain to support diverse use-cases.

You will join a dedicated team creating datasets for analytics and data science workloads, collaborating with data scientists and analysts to deliver robust data architectures and governance across cloud environments.

Qualificações

• 5+ years of data engineering work experience.
• Strong proficiency in SQL and ability to write complex queries.
• Experience with Python and ETL/ELT pipelines.
• Experience deploying data pipelines in cloud environments (Azure, AWS, GCP).
• Knowledge of data governance best practices in cloud environments.

Responsabilidades

• Data Modeling & Architecture to support analytics and ML.
• Design and optimize ETL/ELT pipelines from multiple sources.
• Improve performance through partitioning, clustering, and tuning of queries.
• Establish data quality standards and governance for secure data access.
• Collaborate with data scientists and analysts to integrate with BI tools and ML models.
• Create documentation for pipelines and mentor junior engineers.
• Design and architect data infrastructure for analytical workloads.

Conhecimentos

SQL

Python

ETL pipelines

Cloud deployment

Data modeling

Formação

Bachelor's degree

Descrição da vaga

CVS Health is seeking a Sr. Data Engineer to design and implement data pipelines powering analytical capabilities. You will translate business requirements into technical solutions and shape the Core Data Domain to support diverse use-cases.

You will join a dedicated team creating datasets for analytics and data science workloads, collaborating with data scientists and analysts to deliver robust data architectures and governance across cloud environments.