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Senior Data Engineer
OnMedSenior Data Engineer architecting and scaling data solutions at OnMed to enhance healthcare access. Leading integration and data engineering efforts in a hybrid work environment.
Tech Stack
Tools & technologiesAzureCloudETLPythonSQLUnity
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- unlimited PTO
- paid holidays
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
DatabricksAzure cloud servicesETLELTPythonSQLCI/CDdata governancedata modelingAPI management
Soft Skills
leadershipcommunicationmentorshipcollaborationstrategic planning
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Information Technology