Senior Azure Databrick Engineer

Genzeon, an AI and automation company with deep engineering and data expertise, dedicated to serving the healthcare and retail industries. Our platform solutions – including HIP One, CompliancePro Solutions, and Patient Engagement Solutions – empower organizations to scale innovation and transform outcomes.

Genzeon is a global community of innovators and problem-solvers, with a culture built on inclusion, flexibility, and purpose-driven work. With four global delivery centers, we support providers, payers, Healthtech, and retail organizations worldwide.

Genzeon has an exciting opening for Senior Azure Databrick Engineer to join our dynamic team.

Job Title: Senior Azure Databrick Engineer

Job Type: FTE

Job Location: Onshore United States — Remote, anyone from Pennsylvania area will be highly preferred.

Position Summary

Need a Senior resource on FTE someone who can anchor from Genzeon to client. Must have excellent communication skill.

Technology & Domain Expertise

• Azure Databricks & PySpark

• SQL & Data Warehousing

• Delta Lake & Medallion Architecture

• Azure Data Factory (ADF), ADLS & Unity Catalog

• CI/CD, Git & Release Management

• Healthcare Payer Data (Claims, Membership, Provider, Clinical)

Hands-on Senior Data Engineer to support enhancement, stabilization, and delivery of a large-scale healthcare data lake built on Azure Databricks. The role will drive development of scalable data pipelines, platform improvements, production issue remediation, and onboarding of new data products supporting interoperability, analytics, and regulatory use cases.

Key Responsibilities

Design, develop, and optimize data pipelines using Azure Databricks, PySpark, SQL, and Delta Lake.

Build and enhance Medallion Architecture Bronze and Silver layer data products.

Support platform enhancements, defect remediation, and production stabilization activities.

Collaborate with architects, product owners, QA, and business stakeholders to define and deliver solutions.

Perform root cause analysis and drive resolution of technical and data-related issues.

Support release planning, deployment activities, and production readiness.

Required Skills

15+ years of Data Engineering experience.

Strong expertise in Azure Databricks, PySpark, SQL, ADLS, and Delta Lake.

Knowledge of Azure Data Factory, Unity Catalog, CI/CD, and GIT.

Experience with ETL/ELT development, data warehousing, and dimensional modeling.

Strong troubleshooting, performance tuning, and debugging capabilities.

Experience working in Agile delivery environments.

Excellent communication and stakeholder management skills.

Preferred Skills

Healthcare payer domain experience (Claims, Membership, Provider, Clinical and more).

Experience with FHIR/Interoperability data models.

Experience supporting enterprise-scale cloud data platforms has context menu