Data Engineer III
Core
Define and deploy mission-critical data infrastructure to process large healthcare datasets, enabling insights for 3 million members.
Role type
Senior IC Data Engineer
Builds
Production-grade data pipelines and optimized database schemas within the AWS ecosystem
Domain
Healthcare / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
SQL (expert-level, query optimization), Python (production-grade), AWS services (Lambda, Glue, Fargate), Apache Airflow, DBT, PostgreSQL, Amazon Redshift, AI tooling integration
Preferred skills
Medical/pharmacy claims data experience, serverless architecture deployment, Master Data Management, infrastructure-as-code (Terraform/CloudFormation), AI-driven automation for data quality
Technologies
AWS Lambda, AWS Glue, AWS Fargate, Apache Airflow, DBT, PostgreSQL, Amazon Redshift, GitHub Copilot, LLMs
Responsibilities
Write production-level Python and SQL for data transformation and pipeline logic; Leverage AI tools for code generation, query optimization, and automated testing; Build and maintain large-scale data pipelines using Apache Airflow; Design optimized database schemas in PostgreSQL and Amazon Redshift; Oversee ELT processes using DBT; Identify opportunities for AI-driven automation in data engineering tasks
Seniority
Senior, hands-on IC