pivotal-health - Staff Software Engineer, Data Engineering
Requirements
• 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. • Experience building LLM-powered extraction or document understanding systems. • Experience with machine learning workflows. • This position is not eligible for employer-sponsored work authorization. Applicants must be legally authorized to work in the United States on a permanent basis without the need for current or future visa sponsorship.*
Responsibilities
• 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.
Benefits
• $210K – $240K • Offers Equity • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • If helpful, feel free to share how to pronounce your name. • We’ll only use this to contact you about your application. • Your resume gives us context on your experience. Feel free to include links to LinkedIn, GitHub, or anything you’re proud of. • or drag and drop here • We ask this to understand time zone alignment, work authorization, and any role-specific location needs. Remote and hybrid expectations vary by role and are shared in the job description. • This helps us understand work authorization requirements. We do not use this information to evaluate qualifications for the role. • We ask this to understand your general expectations; it’s not a commitment or final offer. Compensation is based on role scope, experience, and location. • This helps us understand how candidates find us. • Event/Confernece • Feel free to share a portfolio, GitHub, or anything else that helps tell your story. • I prefer not to answer • Another Gender Identity • Heterosexual / straight • Asian or Asian American • Black or African American • Hispanic or Latine • Indigenous or Native American • Native Hawaiian or Other Pacific Islander • Person with disability • Refugee or immigrant • None of the above
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