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4 дня назад

Staff Data Engineer (AI)

153 000 - 210 000$
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

Текст:
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TL;DR
Staff Data Engineer (AI) (dbt/BigQuery/Dagster): Building and owning production-scale data pipelines, reverse-ETL systems, and semantic and metrics layers for value-based healthcare with an accent on data quality, trustworthy clinical metrics, and machine-readable context for AI systems. Focus on designing reliable ingestion and transformation workflows, governing metric definitions, and enabling self-serve analytics across operational, clinical, and financial data.

Location: USA

Salary: $153,000–$210,000 annual

Company

hirify.global delivers value-based care to underserved individuals with complex needs, including Medicaid beneficiaries and people who are dually eligible.

What you will do

  • Build and maintain production-scale ingestion and transformation systems using dbt, SQL, BigQuery, GCP, and Dagster.
  • Improve the quality, freshness, and reliability of member identity, eligibility, claims, EHR, HIE, and FHIR data.
  • Own reverse-ETL systems that supply operational data to care delivery applications.
  • Support clinical performance evaluation and value-based contracts through HEDIS and CMS Stars measurement pipelines.
  • Define and maintain a governed semantic and metrics layer with consistent, machine-readable metric definitions.
  • Partner with AI, BI, clinical, product, and platform stakeholders to provide trustworthy data and self-serve analytics.

Requirements

  • 6+ years of experience building trustworthy production systems.
  • Hands-on production-scale experience with dbt and SQL, plus Dagster, Airflow, or an equivalent orchestration tool.
  • Experience owning operational or reverse-ETL data systems used by production applications.
  • Experience designing or maintaining a semantic or metrics layer.
  • Understanding of how LLMs consume structured context and daily use of AI-assisted engineering and analytics tools.
  • Ability to collaborate with BI, clinical, product, and platform stakeholders.

Nice to have

  • Computer science degree or equivalent experience.
  • Experience in regulated environments such as HIPAA or SOC 2.
  • Direct BigQuery experience.
  • Exposure to healthcare and clinical data, including ADT, HEDIS, and CMS Stars.
  • Experience building self-serve analytics for non-technical stakeholders.

Culture & Benefits

  • Mission-oriented work focused on improving care for underserved populations.
  • Health insurance, life insurance, and retirement benefits.
  • Participation in the company equity program.
  • Paid vacation and sick leave.
  • Equal opportunity employment and a focus on diversity.

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