Staff Software Engineer, Data Extraction

Pivotal Health

Staff Software Engineer at Pivotal Health focusing on clinical data extraction architecture. Designing and building systems to streamline healthcare data processing and compliance.

Posted 6/12/2026full-timeRemote • New York • 🇺🇸 United StatesLead💰 $210,000 - $240,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own clinical data extraction architecture. Design and evolve the systems that ingest, process, and normalize structured and unstructured clinical data from multiple healthcare sources.
Build document intelligence pipelines. Develop services that extract meaningful information from PDFs, scanned records, images, and clinical documentation.
Lead healthcare data modeling efforts. Create approaches for transforming raw clinical artifacts into structured, queryable datasets.
Develop scalable ingestion services. Design resilient systems capable of processing large volumes of healthcare records with high reliability and accuracy.
Build scalable data extraction systems. Leverage the best available technologies and architectural approaches to improve information extraction, classification, and normalization across diverse healthcare data sources.
Establish data quality standards. Create validation frameworks, monitoring systems, and feedback loops that improve extraction accuracy over time.
Influence and collaborate across clinical, product, engineering, data, and operational domains: Driving alignment on business objectives and translating them into technical systems that support provider evidence generation.
Drive technical strategy for unstructured healthcare data. Evaluate technologies, standards, and architectural approaches that accelerate clinical data adoption.
Mentor engineers across the organization. Raise engineering standards through design reviews, technical leadership, and hands-on collaboration.

Requirements

What you’ll need

8+ years building backend software systems in production environments.
Experience with healthcare data standards such as HL7, FHIR, CDA, or EHR integrations.
Familiarity with medical records, claims, or healthcare operations.
Experience designing large-scale data processing or document processing platforms, specifically working with clinical data - familiarity with medical terminology/coding practices.
Strong proficiency in Python and SQL, or similar backend languages.
Experience working with unstructured data and NLP systems.
Proven ability to design systems that operate reliably across imperfect or incomplete datasets.
Experience making architectural decisions that influence multiple teams or business functions.
Comfortable operating in ambiguous environments where requirements evolve as the business learns.
Demonstrated bias toward ownership and delivering outcomes rather than simply completing tickets.

Benefits

Comp & perks

Competitive compensation, including equity
Full health, dental, and vision coverage
Retirement savings plan through 401(k)
Flexible time off
Opportunities for company-wide connection and events

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLdata extractiondata processingNLPdata modelingdocument processingdata normalizationdata quality standardsarchitectural design

Soft Skills

leadershipcollaborationmentoringproblem-solvingadaptabilityownershipcommunicationinfluencestrategic thinkingtechnical leadership