4 дня назад
Staff Data Engineer (AI)
153 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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