Senior Data Engineer positions focus on delivering results in their domain. This page aggregates open Senior Data Engineer roles and what employers typically expect.
**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** **Enterprise Data Architecture & Platform Ownership** - 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. **Integration Architecture & Interoperability** - 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. **Data Engineering & Pipeline Development** - 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. **Governance, Security & Compliance** - 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. **Cross-Functional Leadership** - 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 throug…