$200K – $260K/yr
Pay vs market · Near median
This job's pay ($199,000 a year at the midpoint) is higher than about 50% of 27 salary-listed Data Engineer jobs in San Francisco in the last 12 months; their median is $200,000.
Role overview
Job description
You will own the ingestion and transformation pipelines that bring patient records into our platform and shape them into data our matching systems and human experts can trust.
That means designing for reliability in compute-intensive, long-running workflows: the kind of problems where serial processing breaks under load, timeouts become production incidents, and the right architecture (async pipelines, message queues, container-based compute) separates a working feature from a failing one. You'll own data quality end-to-end: schema design, validation, transformation logic, and the monitoring that catches problems before a clinician does.
You'll partner closely with our AI engineers on the data foundations for patient-trial matching and with our product engineers on how ingested data flows into the workflows our users depend on. You'll monitor production, triage issues quickly, and exercise pragmatic judgment by matching technology to business needs.
Your Qualifications
We are looking for a data engineer with 8 or more years of experience, with at least a couple of years operating at staff scope or equivalent impact. Beyond tenure, what matters most is whether you have demonstrated the kind of high-impact ownership this role requires.
Strong pipeline engineering: ingestion, transformation, and orchestration of data at meaningful scale, with real attention to data quality and reliability.
Deep SQL and PostgreSQL fluency, including schema design and query performance
Solid Python and comfort working in a codebase with TypeScript.
Deep AWS experience (Lambda, Fargate, SQS, RDS, and the surrounding ecosystem) and the ability to choose the right service for the right job.
Proven track record of leveraging AI coding tools creatively and effectively to build production systems.
Demonstrated ability to take autonomous ownership, identifying and resolving systemic issues independently.
Startup experience, where you have built from scratch at an early-stage company and treated ambiguity as an opportunity rather than an obstacle.
Strong systems thinking, encompassing backend architecture, APIs, databases, and scalability under real-world constraints.
Clear communication and influence, with the ability to explain trade-offs to both engineers and non-engineers to earn trust through honesty.
Healthcare alignment with a genuine interest in improving clinical trial access and health equity; HIPAA experience a strong plus.
Nice to Have Familiarity with IaC tooling (Terraform, Pulumi, etc), clinical or healthcare data standards (EHR/EMR, HL7/FHIR), and API design patterns are all additive. Experience in a regulated industry is a plus.
Why Trial Library Meaningful impact — helping patients access clinical trials faster through better technology and workflows High ownership environment — autonomy to build, test, and influence strategy across the business Collaborative team culture — low ego, high trust, and close partnership across functions Opportunity for growth — join at an early stage with meaningful exposure to company-building and decision-making Our Core Values Ally is our favorite moniker The broadest reach is worth the effort Celebrate measurable improvements in access and outcomes Fearless advocates for representation in research Incentives matter to stakeholders choosing our products Taking initiative is actually giving We are accountable for the experience of patients and providers Empathy and humility are the real dynamic duo Our Benefits & Perks Health & Wellness: Comprehensive medical, dental, and vision coverage for employees and eligible dependents, along with disability, life, and supplemental insurance options designed to support your overall well-being. Time Off & Workplace Support: Flexible paid time off, observed company holidays, and a one-time home office stipend to help you create a productive and comfortable remote workspace within our hybrid environment. Financial & Lifestyle Benefits:401(k) program, pre-tax HSA and FSA options, commuter benefits, financial wellness resources, and access to legal protection plans to support both short- and long-term planning. Additional Support & Voluntary Benefits: Access to voluntary benefit offerings including pet wellness support, domestic partner coverage, and additional programs that support the diverse needs of our team members and their families. Our Interview Process Our interview process typically includes four stages, followed by reference checks and an offer. Depending on the role, particularly for technical or senior positions, the process may vary slightly and can include a technical assessment, case study, presentation, practical exercise, additional interview conversations, or conversations with members of our leadership team and investors. Trial Library, Inc. is an equal opportunity employer committed to building an inclusive workplace. We provide equal employment opportunities to all employees and applicants and prohibit discrimination and harassment of any kind without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, veteran status, military status, medical condition, family or medical leave status, political affiliation, or any other characteristic protected by applicable federal, state, or local law. Trial Library, Inc. is committed to providing reasonable accommodations for qualified individuals with disabilities throughout the recruiting process. If you require assistance or accommodation, please contact jobs@triallibrary.com
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About this listing
- Source: Trial Library's official careers site · still listed there on 10 Nov 2026
- Posted 19 Aug 2026
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Role market pulse
How Data Engineer demand looks in United States
Live jobs
286
Posted 30d
246
30d movement
+583.3%
Remote share
31.5%
Salary listed
82.9%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
Your Qualifications We are looking for a data engineer with 8 or more years of experience, with at least a couple of years operating at staff scope or equivalent impact; is committed to providing reasonable accommodations for qualified individuals with disabilities throughout the recruiting process
Department · Engineering
Hiring company
Trial Library
AI platform connecting patients to clinical trials. Activate providers, identify eligible patients, and navigate them through trials across health systems.
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