aipythongodata engineeringgcpdistributed systemsstartupfhirhealthcare datax12 edi
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
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$200к-233к/год
$150к$170кмедиана$210к
По похожим ролям (50) ~ $170к/год
На СНГ рынке: $3.5к/мес ($2.8к - $4.3к)
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Крутая вакансия
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Чёткая зона ответственности на staff-уровне, современная работа с платформой данных и важная задача в здравоохранении делают вакансию сильной, хотя стартап-среда и широкая ответственность несут риски исполнения.
Выше рынка
Риск стартапа
?Широкая ответственность
Современный стек
Важная сфера
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Platform Engineer (Health Plan Data): Building the data platform, pipelines, production services, and engines that power provider networks, eligibility, claims, and plan design for health insurance payors with an accent on architecture, data correctness, auditability, and multi-tenant scale. Focus on designing distributed data systems, production APIs and services, traceable lineage, and configurable onboarding for regulated healthcare customers.
Location: USA; fully remote. Quarterly company meetups are required.
Base salary: $200,000–$233,000 annually, plus bonus, equity, and benefits.
Company
hirify.global is a Series A startup building infrastructure for Dynamic Copay health plans and price-transparent healthcare for health insurance payors.
What you will do
Define and drive the architecture for ingestion, conformance, storage, and serving of provider network, eligibility, claims, and plan design data.
Establish data contracts, versioned configuration, build-once-and-promote patterns, traceable lineage, and shared platform standards.
Build reliable, observable, audit-ready, append-only, and data-quality-focused systems in a HIPAA-regulated environment progressing toward SOC 2 and HITRUST.
Design multi-tenant data services and platform capabilities that make onboarding additional payors a configuration exercise rather than a rewrite.
Partner with product and engineering leadership on sequenced delivery plans and own platform reliability, data correctness, and delivery outcomes.
Lead design reviews and RFCs, mentor senior engineers, and guide the responsible use of AI tools for coding, testing, data quality, and documentation.
Requirements
10+ years of staff-level experience designing and building data platforms and distributed systems at scale, with technical leadership across teams.
Healthcare data expertise covering X12 EDI, including 834, 837, and 835, eligibility, claims, provider data, and/or FHIR; comfort handling PHI under strict privacy controls.
Deep data engineering experience with batch and streaming pipelines, analytical and operational data modeling, data quality, testing, lineage, and observability.
Fluency with modern cloud data tooling; GCP is preferred, including BigQuery, Cloud Run, Pub/Sub, and Cloud Storage, plus Postgres, Python, Go, orchestration, and infrastructure as code.
Experience designing, building, and operating production APIs and distributed services, owning SLOs and on-call responsibilities.
Strong ownership, precise written communication, async-first working habits, and the ability to explain complex systems to engineers, product partners, and executives.
Daily practical use of AI tools and coding agents, with clear judgment about where they are effective.
Nice to have
Health plan or payor-side experience.
Search and relevance systems, including entity resolution, anomaly detection, embeddings, or semantic search.
gRPC API and SDK design.
Dagster or Airflow; dbt or Dataform.
Experience taking a platform through an enterprise or regulated-industry audit.
Culture & Benefits
Fully remote work with quarterly company meetups.
Base salary, bonus, equity, and competitive benefits.
Unlimited PTO with a mandatory 12 days, plus medical, dental, and vision insurance.
401(k) with matching, computer, and home-office stipend.
Autonomy and significant room for career growth.
Hiring process
Application requires first name, last name, email, LinkedIn URL, location, and resume; a cover letter is optional.
Applicants must provide base salary expectations and answer whether they will now or in the future require US employment-authorization sponsorship.
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