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8 дней назад

Senior Data Engineer (AI/Healthcare)

190 000 - 210 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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.
  • Parental leave, commuter benefits, generous PTO, daily office lunches, and office snacks.
  • Office at 3 World Trade Center with access to trains and PATH.

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