Senior Data Engineer

OnMed • White Plains, NY

5h • $170,000

About The Position

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.
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.

Requirements

• 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.

Nice To Haves

• Familiarity with healthcare interoperability standards (HL7, FHIR) is a strong advantage.

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.

Benefits

• OnMed provides a competitive salary and benefits package, including unlimited PTO and paid holidays.
• The base salary range for this role is up to $170,000 commensurate with the candidate's experience, plus an annual discretionary performance bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level