Cloud Data Engineer - Healthcare Analytics & Pipelines

8350 Oak Street Health MSO LLC; California (MO); On-site; USD 65,000 - 173,000; Full time

Job summary

CVS Health is seeking a Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and translating business requirements into technical solutions.

You will be part of a team creating datasets for analytic workloads and will collaborate with data engineers, scientists, and analysts to design, test, and deploy pipelines in cloud environments.

Qualifications

• 2+ years of applicable work experience.
• Strong proficiency in SQL and developing complex queries.
• Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP).
• Experience with Python, specifically ETL pipelines.
• Excellent communication and interpersonal skills, with the ability to collaborate with data scientists and analysts.

Responsibilities

• Design and implement data pipelines powering analytics and data science workloads.
• Collaborate with data engineers, scientists, and analysts to ensure data quality and availability.
• Design, test, and deploy data pipelines in cloud environments and on-premises as needed.

Skills

2+ years experience

SQL

Cloud environments

Python ETL

Communication

Education

Bachelor's degree

Job description

CVS Health is seeking a Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and translating business requirements into technical solutions.

You will be part of a team creating datasets for analytic workloads and will collaborate with data engineers, scientists, and analysts to design, test, and deploy pipelines in cloud environments.