Responsibilities
• Design, implement big data ingestion and transformation pipelines in preparation of rules engines processes of member and claims data.
• Develop & champion best practices for large scale information extraction from structured/semi-structured data sources.
• Understand data sources in-depth; design & implement data extraction & processing pipelines that work around imperfections of data to improve data quality & coverage.
• Deliver high-quality, scalable code with automated test coverage.
• Drive data quality across the product vertical and related business areas.
• Support the delivery of high impact dashboards and data visualizations.
• Define and manage SLAs for all data sets and processes running in production.
Qualifications and Requirements
• Extensive experience processing commercial medical and pharmacy claims, enrollment and eligibility files.
.• Hands on data modeling / data architecture experience.
• Progressive experience with SQL and related database technologies.
• Progressive experience with a variety of data management tools and technologies, and related tools, data visualization and data extraction and transformation tools.
• Experience deploying code through GitHub and Terraform.
• Ability to develop highly scalable cloud-based data platforms using AWS Stack and Snowflake
• Must have strong problem-solving, analytical and in-depth research skills.
• Clear and coherent in both written and verbal communication skills to communicate effectively with internal and external partners.
