Lead Data Engineer
UST - Chicago, IL
Hiring: Lead Data Engineer Company: UST Location: Chicago, IL Job Posted Time: 2026-09-10 10:16:36 Employment Type: Full-time / Remote Target Skills & Keywords : AWS, Airflow, Data Pipeline, Databricks, HIPAA, IAM, Iceberg, Lambda, PySpark, Python, RBAC, S3, SQL, Step Functions About the job Experience: •7+ years of data engineering experience •2 years in a technical lead role •At least 2 years in a technical lead role Required Skills: •Lead the design, implementation, and maintenance of robust data pipelines on AWS using Databricks •Architect scalable lakehouse structures leveraging Apache Iceberg to ingest, process, and store complex healthcare data types •Establish comprehensive data governance and data lineage frameworks using Databricks Unity Catalog •Implement secure access controls, data masking, and row-level security through Role-Based Access Control (RBAC) •Architect and scale ingestion frameworks capable of processing HL7 and FHIR data feeds natively into the lakehouse ecosystem •Oversee end-to-end processing of Medicare Advantage data assets, ensuring accurate risk adjustment and reporting workflows •Ensure strict adherence to healthcare regulations, including HIPAA compliance and robust data governance frameworks •Mentor junior engineers, conduct code reviews, and drive technical best practices across the data team Qualifications: •Deep domain expertise in US Healthcare systems •In-depth knowledge of Medicare Advantage programs and workflows •Understanding of healthcare regulations and HIPAA compliance requirements •Knowledge of HL7 and FHIR healthcare interoperability standards •Databricks Certified Data Engineer Professional •AWS Certified Data Analytics certification •Operational familiarity with orchestration tools like Apache Airflow or AWS Step Functions Compensation: •$92,000 - $138,000 / year •They are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!