Job Title: Senior Data Engineer Company Name: GradBay Job Url: https://www.linkedin.com/jobs/view/4374726108/?eBP=NOT_ELIGIBLE_FOR_CHARGING&trk=flagship3_search_srp_jobs&refId=Auip3hDYeHYv8HeVFT8qSQ%3D%3D&trackingId=fWrtUCvrPIzRJ17F%2FWMC3g%3D%3D Job Description: Senior Data Engineer GradBay • San Francisco Bay Area (Remote) Save Easy Apply GradBay Senior Data Engineer San Francisco Bay Area · 5 hours ago · 84 applicants Promoted by hirer · Company review time is typically 1 week Remote Full-time Easy Apply Save Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features with Premium. Try Premium for PKR0 Show match details Tailor my resume Help me stand out People you can reach out to Meet the hiring team Sam Bloom • 3rd Director, GradBay (part of Group GTI) Job poster Message About the job Founding Senior Data Engineer: Build the Data Backbone of AI-Driven Healthcare We’re a venture-backed HealthTech company building an AI-powered platform transforming patient care at scale. We are hiring a Founding Senior Data Engineer to architect and build our data platform from scratch (0→1). You will design and implement the foundational infrastructure powering Clinical, AI, Product and Financial systems from day one. You’ll own Architect and build batch + real-time streaming ingestion pipelines from the ground up Design and implement an ontology-driven healthcare data model (FHIR, HL7, SNOMED CT, ICD) Build enterprise-grade, PHI-compliant infrastructure from scratch Enable AI workflows including LLM pipelines, embeddings, RAG and knowledge graph integrations Implement CDC, reverse ETL and real-time operational dashboards Design scalable systems capable of supporting 10,000+ active users and growing You will operate with full architectural ownership across clinical, AI, product and finance systems. Core technical requirements - (must-have) 5+ years as a Data Engineer in production environments Proven experience building data platforms 0→1 at a startup or high-growth environment Built high-throughput ingestion pipelines from scratch (batch + streaming) Experience designing systems that scale to 10,000+ users or high-volume event throughput Advanced SQL and production-level Python dbt and modern warehouse tooling experience Strong PHI / PII governance experience (HIPAA-compliant systems) Experience with healthcare interoperability standards (FHIR / HL7 preferred) Desirable: Experience enabling AI-native data systems (LLMs, embeddings, vector search, RAG) Experience at a high-growth consumer or product-driven tech company Prior founding engineer or early-stage startup experience Experience building infrastructure without pre-existing platform teams Other requirements: Must not require US visa sponsorship Exceptional independent IC with strong architecture judgement Comfortable operating with ambiguity and building greenfield systems If you’ve built scalable data infrastructure from the ground up and want to power AI-driven healthcare at enterprise level, this is a rare opportunity.