Lead Data Engineer

Role description Lead Data Engineer Lead II - Data Engineering

Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you'll create a boundless impact that transforms your career-and the lives of people across the world.

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UST is searching for a Lead Data Engineer to architect, build, and optimize scalable, cloud-native data systems. In this role, you will lead the development of enterprise data platforms using Databricks and AWS.

• 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

• 7+ years of data engineering experience
• At least 2 years in a technical lead role
• Production experience building and optimizing large-scale pipelines within Databricks
• Production experience deploying data infrastructure on AWS (S3, EMR, Lambda, IAM, Glue)
• Explicit, hands-on experience processing Medicare Advantage data (CMS enrollment, RAPS/EDPS submissions, MMR/MOR files, HCC risk adjustment models)
• Proven experience working with healthcare interoperability standards (FHIR and HL7 models)
• Proven experience implementing enterprise-level Role-Based Access Control (RBAC) and row-level security for PHI

• Mastery of Python, PySpark, and advanced SQL for complex distributed computing tasks
• Deep understanding and practical experience with Apache Iceberg (open table formats)
• Expert-level knowledge of Databricks Unity Catalog for centralized data governance
• Comprehensive understanding of US Healthcare data architecture
• Strong data pipeline design and optimization capabilities
• Security and compliance implementation expertise

• 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
• Familiarity with orchestration tools like Apache Airflow or AWS Step Functions

Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.