Lead Data Engineer
$92,000-$138,000
Apply (opens in a new tab)Lead Data Engineer
Posted 43 days ago
SENIORITY
Lead
SALARY
$92,000-$138,000
About the role
- 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 This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.
- 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· Skills & Technical Competencies:· 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· Knowledge & Domain 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· Preferred Qualifications & Certifications:· 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. Role Location: Remote - US
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