Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$190к-210к/год
$170к$190кмедиана$230к
По похожим ролям (49) ~ $190к/год
На СНГ рынке: $3.8к/мес ($2.9к - $4.3к)
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Чётко описанная senior-роль в платформенной команде сочетает современный стек, ответственность за полный цикл и хороший пакет льгот; зарплата около медианы рынка, а дежурства и обязательный гибридный формат в Нью-Йорке - важные компромиссы.
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ДежурстваСовременный стекПонятная рольЗарплата по рынкуAI в медицине
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (AI/Healthcare): Building and operating production data pipelines and warehouse infrastructure for healthcare revenue cycle management with an accent on EHR extracts, entity modeling, and platform reliability. Focus on designing idempotent pipelines, managing Snowflake performance and cost, and operating data systems with real SLAs, observability, and access governance.
Location: New York City, hybrid
Salary: $190,000–$210,000 base salary per year, plus bonus, equity, and benefits.
Company
hirify.global is an AI orchestration platform for healthcare revenue cycle management, helping healthcare organizations automate revenue operations and improve financial outcomes through data science and AI agents.
What you will do
Own a major Data Platform workstream from ambiguous requirements through architecture, delivery, and production operation.
Build reliable, production-grade pipelines with idempotency, late-arriving data handling, backfills, and failure recovery.
Design EHR extract infrastructure for Epic Clarity, athenahealth, and ODBC-based sources.
Transform raw healthcare data into curated, trusted models used across product surfaces.
Shape technical direction through design reviews, mentoring, and architectural decisions.
Operate platform health, including observability, access control, warehouse cost management, and on-call support.
Requirements
5+ years building and operating production data systems, including end-to-end ownership of a substantial pipeline or platform component.
Strong Python and advanced SQL skills, including work with large warehouse schemas and performance tuning.
Hands-on experience with Snowflake or another modern data warehouse and an orchestration framework such as Temporal, Airflow, or Prefect.
Experience with SQLMesh, dbt, or a similar transformation framework.
Ability to scope systems around volume, latency, SLAs, production reliability, and failure modes.
Must work in a hybrid setup in New York City.
Nice to have
Healthcare data experience with EHR integrations, HL7/FHIR, claims data, payer workflows, or PHI/HIPAA constraints.
Experience building foundational infrastructure in an early-stage or resource-constrained environment.
AWS depth across IAM, S3, and ECS/Fargate, plus Datadog observability experience.
Culture & Benefits
AI coding tools such as Claude Code are part of the design, development, and review workflow.
Competitive equity packages.
Employer-paid medical, dental, and vision insurance, plus an employer-funded HSA.
Office at 3 World Trade Center with access to trains and PATH.
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