Senior Data Engineer

Who We Are and Why Join Us? At?OnMed?our purpose is simple but powerful...to improve the quality of life and sense of well-being in our communities by bringing access to healthcare to everyone, everywhere. Our path to everywhere has already begun, with our innovative?CareStation, a small but mighty, Clinic-in-a-Box, bringing #healthcareaccess anywhere with an outlet to plug it in. Poised to become a key?component?in America's public health infrastructure, the?OnMed?CareStation?is the only tech-enabled, human-led, hybrid care solution that combines the comprehensive experience,?trust?and outcomes of a clinic, with the rapid scalability of virtual care.

At?OnMed, every role, every day, is directly?impacting?the communities we serve.You'll?join a high-performing purpose-driven team, innovating to break down the barriers that keep people from the care they need.

This is not just a job??it's?a movement to bring healthcare where and when people need it most.It's?healthcare that shows up.

Who You Are You are a senior-level Data Engineer and integration architect experienced in designing and scaling enterprise data platforms in cloud-first environments. You bring deep expertise in Databricks and Microsoft Azure and have led the architecture, optimization, and governance of modern data ecosystems.

You think beyond pipelines ? you design resilient, scalable data platforms that power analytics, interoperability, and operational systems. You are comfortable operating at both the strategic architecture level and the hands-on engineering level. You thrive in high-growth environments and are motivated by leveraging data to expand access to quality healthcare.

Role Responsibilities

• Architect, design, and scale enterprise-grade data solutions using Databricks and Azure cloud services.
• Own and evolve the Databricks environment, including performance optimization, cost management, governance, and security controls.
• Define long-term data architecture strategy aligned to business growth and healthcare compliance, and the evolution of OnMed's CareStation and HomeStation platforms.
• Establish data modeling standards, metadata management practices, and scalable ETL/ELT frameworks.

• Serve as lead integration architect across all system interfaces and API-driven data exchanges.
• Design and optimize integration patterns using Azure Data Factory, Azure API Management, and event-driven architectures.
• Ensure reliable, secure, and scalable interoperability between internal systems, third-party platforms, and healthcare data sources ? including HL7/FHIR-based integrations with EHR and clinical systems.
• Oversee monitoring, observability, and fault tolerance across all integration touchpoints.

• Build and optimize high-performance, scalable data pipelines in Databricks using Python and SQL.
• Design and implement advanced data transformations and complex query optimization.
• Implement automated testing, validation frameworks, and data quality controls to ensure pipeline reliability.
• Drive CI/CD practices and infrastructure-as-code principles for data platform management.

• Establish and enforce data governance standards using Databricks Unity Catalog, including lineage tracking, auditing, and role-based access controls.
• Ensure compliance with healthcare data privacy and security regulations including HIPAA, HITRUST, and SOC 2 requirements.
• Implement role-based access, encryption standards, and secure API management, and access controls for PHI/PII data handling.

• Partner with BI, analytics, product, and engineering teams to translate business needs into scalable data solutions.
• Provide architectural guidance and mentorship to junior engineers and analysts.
• Influence data strategy at the leadership level through proactive recommendations and roadmap planning.
• Communicate technical concepts clearly to non-technical stakeholders including clinical, operational, and executive audiences.

Knowledge, Skills & Abilities

• Experience operating in regulated industries; healthcare (HIPAA, HITRUST, SOC 2) strongly preferred.
• Deep expertise in Databricks: Delta Lake, Unity Catalog, performance tuning, cost optimization, job orchestration.
• Advanced knowledge of Azure services including Azure Data Factory, Azure API Management, Azure Storage, and related cloud infrastructure.
• Strong proficiency in SQL (complex query optimization, performance tuning, indexing strategies) and Python; working knowledge of C# a plus.
• Extensive experience designing scalable ETL/ELT frameworks and data warehousing solutions.
• Experience implementing event-driven or API-based integration architectures.
• Familiarity with healthcare interoperability standards (HL7, FHIR) is a strong advantage.
• Proven ability to balance architectural vision with hands-on execution.
• Strong communication skills with the ability to influence technical and non-technical stakeholders at all levels.
• Demonstrated ability to mentor engineers and drive engineering best practices across a team.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 7+ years of progressive experience in data engineering, data architecture, or enterprise integration.

OnMed?is a proud equal opportunity employer. All qualified applicants will be considered without regard to race, color, creed, religion, gender, sexual orientation, national origin, genetic information, disability, age, marital status, veteran status, or any other category protected by law.

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