Description

You will lead the development of data strategies for public healthcare datasets to drive organizational and client decision-making.

Responsibilities

• Develop data strategies centered on public healthcare datasets including Medicare, Medicaid, and other federal or state sources.
• Design and maintain ETL processes and data pipelines for efficient ingestion, transformation, and storage.
• Build scalable data models that integrate public and proprietary datasets.
• Collaborate with analytics, market access, and consulting teams to address specific data requirements.
• Implement QC processes and governance frameworks to ensure data quality and accuracy.

Required Skills

• 4+ years of experience in data engineering roles.
• Bachelor’s degree in computer science, data engineering, or a quantitative discipline.
• Proficiency in Snowflake and associated technologies.
• Expertise in healthcare data architecture, specifically CMS data, Medicare FFS claims, Part D PDE data, and Medicare Advantage encounter data.
• Hands-on experience with Python, SQL, or SAS for data manipulation.
• Experience integrating secondary sources like survey data, geographic/social determinants of health, and drug or formulary databases.
• Proven ability to build and optimize ETL pipelines and workflows in AWS or Azure environments.
• Strong knowledge of data modeling, warehousing, and governance principles.

Preferred Skills

• Advanced degree in a quantitative field.

Key Skills

Education

Bachelor's degree