Staff Data Engineer

Trial Library

Staff Data Engineer owning reliable patient-data pipelines for Trial Library’s AI clinical-trial and precision-medicine platform. Building AWS-based integrations that improve patient-trial matching and enrollment.

Posted 8/19/2026full-timeSan Francisco • California • 🇺🇸 United StatesLead💰 $168,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in data engineering with a focus on pipeline engineering, data quality management, and system architecture. Proficient in SQL, Python, and AWS technologies, with a strong understanding of healthcare data standards and regulatory compliance.

Highest-signal resume keywords

Data Engineering ExperiencePipeline EngineeringSQL and PostgreSQL FluencyAWS ProficiencyHealthcare Data Standards Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationSchema DesignAsynchronous PipelinesMessage QueuesPython ProgrammingTypeScriptAI Coding ToolsAPI Design PatternsSystems Thinking

Soft Skills

Clear CommunicationAutonomous Ownership

Tools & Technologies

AWS LambdaAWS FargateAWS SQSAWS RDSTerraformPulumi

Industry Keywords

EHREMRHL7FHIRHIPAA

Tech Stack

Tools & technologies

AWSPostgresPythonSQLTerraformTypeScript

About the role

Key responsibilities & impact

Own ingestion and transformation pipelines that bring patient records into the platform
Design reliable compute-intensive, long-running workflows using asynchronous pipelines, message queues, and container-based compute
Own data quality end-to-end, including schema design, validation, transformation logic, and monitoring
Partner with AI engineers on data foundations for patient-trial matching
Partner with product engineers on how ingested data flows into user workflows
Monitor production systems and triage issues quickly
Apply pragmatic judgment to match technology to business needs
Contribute to the architectural shift from human-assisted data pulls to robust, automated integrations ingesting complete patient records
Build and maintain systems supporting AI-assisted patient-trial matching

Requirements

What you’ll need

8 or more years of experience in data engineering
At least a couple of years operating at staff scope or equivalent impact
Strong pipeline engineering experience, including ingestion, transformation, and orchestration at meaningful scale
Deep SQL and PostgreSQL fluency, including schema design and query performance
Solid Python skills and comfort working in a TypeScript codebase
Deep AWS experience, including Lambda, Fargate, SQS, RDS, and the surrounding ecosystem
Proven ability to leverage AI coding tools creatively and effectively to build production systems
Demonstrated autonomous ownership and ability to resolve systemic issues independently
Startup experience building from scratch at an early-stage company
Strong systems thinking across backend architecture, APIs, databases, and scalability
Clear communication and ability to explain trade-offs to engineers and non-engineers
Genuine interest in improving clinical trial access and health equity
Familiarity with IaC tooling such as Terraform or Pulumi
Familiarity with clinical or healthcare data standards such as EHR/EMR and HL7/FHIR
Familiarity with API design patterns
Experience in a regulated industry is a plus
HIPAA experience is a strong plus

Benefits

Comp & perks

Comprehensive medical, dental, and vision coverage for employees and eligible dependents
Disability, life, and supplemental insurance options
Flexible paid time off
Observed company holidays
One-time home office stipend
401(k) program
Pre-tax HSA and FSA options
Commuter benefits
Financial wellness resources
Access to legal protection plans
Voluntary pet wellness support
Domestic partner coverage
Additional voluntary benefit programs
Opportunity for growth and exposure to company-building and decision-making