Lead Data Engineer

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.

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.