Senior Data Engineer

October 9

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Health Gorilla

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Healthcare Insurance • SaaS • Government

Health Gorilla is a leading company in the field of health information exchange and data interoperability, recognized as a dual-designated Qualified Health Information Network (QHIN) and Qualified Health Information Organization (QHIO) in California. Health Gorilla facilitates seamless data connectivity on both national and local levels, enabling healthcare organizations to maximize security protections and participate in the Trusted Exchange Framework and Common Agreement (TEFCA). The company serves a variety of markets including payers, providers, electronic health records (EHRs), digital health, health information exchanges (HIEs), lab vendors, and life insurance, offering robust solutions for comprehensive clinical data access, lab data automation, and pharmacy data retrieval. With a focus on advanced data security programs, Health Gorilla is committed to supporting organizations in complying with government data exchange frameworks while driving innovation in healthcare interoperability.

201 - 500 employees

⚕️ Healthcare Insurance

☁️ SaaS

🏛️ Government

💰 $50M Series C on 2022-03

📋 Description

• Architect and maintain scalable, reliable data pipelines to support analytics and operational workloads. • Assemble large, complex data sets that meet functional / non-functional business requirements • Partner with data scientists, analysts, and engineering teams to ensure data accessibility, consistency, and quality across the organization. • Implement data governance, security, and compliance best practices aligned with healthcare and interoperability standards. • Drive automation and observability in data workflows, ensuring resilience, transparency, and cost efficiency. • Evaluate and introduce new technologies, frameworks, and tools to enhance data capabilities. • Collaborate with leadership to shape the data strategy roadmap, ensuring scalability for the company’s growth.

🎯 Requirements

• Bachelor’s or Master’s in Computer Science, Engineering, Applied Mathematics, or a related technical field. • 5+ years of experience building and scaling data pipelines, warehouses, and analytics environments. • Proven expertise with AWS data services — including EMR, Redshift, Glue, S3, Athena, and Lambda. • Experience with Databricks and Spark, with demonstrated ability to migrate or integrate from these systems to AWS-native solutions. • Strong command of SQL, Python, and at least one compiled language (e.g., Java or Scala). • Deep understanding of ETL/ELT frameworks, data modeling, and data lake architectures. • Hands-on experience implementing data quality frameworks, CI/CD for data pipelines, and infrastructure as code. • Familiarity with HIPAA-compliant data handling, FHIR, or other healthcare interoperability standards is a strong plus. • Excellent communication and leadership skills, with a track record of collaborating across functions and influencing technical direction.

🏖️ Benefits

• New hire stock option grant • 401(k) plan with discretionary annual matching • Medical, dental, and vision insurance • Short-, long-term disability, life insurance, and mental health & wellness support • Unlimited PTO plus 12 Holidays • Paid parental leave (up to 12 weeks) • Monthly stipend for phone and internet • Stipend for home office equipment (we provide the laptop)