About the Role:

The Lead Data Engineer / Full Stack Engineer is a member of our Data Engineering team who will focus on data analytics, data engineering and report development to meet business requirements related initially to our Advance Payment Model engine. A successful candidate has strong experience building healthcare measures, efficiently retrieving data from a data lake, build and troubleshooting data pipelines and developing automated data set processes. The candidate will act as a subject matter expert in implementing the best practices of coding in implementing projects. In this role, you'll influence technology strategies, ensure that the technological solutions are aligned with the company's business needs and bring to life data and how it can impact positive healthcare outcomes.

The ideal candidate needs a good understanding of health plan data to design and build data solutions using data engineering techniques to provide unparalleled experience to our clients, members and providers. The candidate should be passionate about continuously collaborating with other teams to provide optimal processes and insights to our business.

In This Role, You will:

• 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.

We’re Looking for People Who Have:

• A bachelor’s degree in a technical or business discipline, or equivalent experience.
• 5 years of related data engineering, software engineering and/or business intelligence experience.
• Extensive experience processing commercial medical and pharmacy claims, enrollment and eligibility files.
• Minimum of 5 years of experience building end-to-end pipelines within AWS Stack.
• 5 years of hands-on experience with big data technologies & event driven architecture.
• Ability to develop highly scalable cloud-based data platforms using AWS Stack and Snowflake.
• Hands on data modeling / data architecture experience.
• 3 years development experience in at least one object-oriented language (SQL, Python, R, .NET, etc.).
• Progressive experience with SQL and related data base technologies.
• Progressive experience with a variety of data management tools and technologies, and related tools, data visualization and data extraction and transformation tools.
• Strong problem-solving, analytical and in-depth research skills.
• Ability to communicate effectively with internal and external partners, both orally and written.
• Experience deploying code through GitHub and Terraform.
• Experience using DBT is preferred.
• Experience with PowerBI or Tableau preferred.