Staff Data Engineer at Trial Library
San Francisco, CA
$168,000–$230,000
Aug 18, 2026
San Francisco, CA
Sep 24, 2026
What this job asks for AI summary
A Staff Data Engineer role at an AI-driven clinical trial enrollment platform, responsible for owning the end-to-end pipelines that ingest and transform patient records from EMR systems into a matching platform used by clinicians. The work centers on building reliable, automated integrations at scale — async pipelines, message queues, schema design, data quality monitoring — on a modern AWS stack with PostgreSQL and TypeScript. The role suits an experienced, autonomous engineer comfortable with healthcare data and startup ambiguity.
Staff level · 8+ years · Remote · Full-time
Quick apply — this platform usually takes a CV and a few fields.
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 340 people nationally plausibly meet what this posting asks for (database architects). range 200–500
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 20, 2026. It is a model, not a headcount.
Why we read it this way (6)
SOC classification is a genuine judgment call: the role is primarily pipeline/data architecture (ETL, schema design, orchestration) pointing to 15-1243, but the depth of application-layer work (TypeScript codebase, API design, AWS service selection) makes 15-1252 a credible alternative.
Drizzle (the ORM used in the data layer) appears in the stack narrative rather than the qualifications section, so it is listed as preferred.
AWS Bedrock appears only in the stack description, not in the qualifications; listed as preferred.
Pulumi appears in the stack narrative and is also mentioned under 'Nice to Have' alongside Terraform; both are listed as preferred.
HL7/FHIR and HIPAA experience are explicitly called out as 'a strong plus' or 'Nice to Have', so they are listed as preferred.
No compensation figures are stated in the posting.
Read the full posting
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