Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль хорошо описана, стек востребован, а работа позволяет влиять на аналитику в здравоохранении. Но зарплата не указана, поэтому сложно оценить предложение на фоне рынка.
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Без вилки зарплатыАктуальный стекШирокая зона влиянияВлияние на здравоохранениеОграничение по штатам
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Analytics Engineer (Healthcare): Building reliable Snowflake and dbt data models, pipelines, semantic models, and product metrics with an accent on AI-ready data, data quality, and healthcare compliance. Focus on designing measurable product outcomes, validating AI-generated code and outputs, and implementing HIPAA-aware access controls in a regulated environment.
Location: Remote, but candidates must be based in California, Oregon, Washington, Utah, or Texas
Company
hirify.global is transforming healthcare in the United States by making health insurance and healthcare more affordable, accessible, personalized, and transparent.
What you will do
Design, build, and maintain dbt and semantic models in Snowflake for reliable, documented product metrics.
Build ingestion and transformation pipelines and align with Data Engineering on shared infrastructure and standards.
Create AI-ready semantic models, metric definitions, and documentation for Snowflake Cortex and CoWork agents.
Partner with Product and Engineering to define data capture, modeling decisions, and measurable feature outcomes.
Analyze product performance, including experiment readouts and significance testing, and resolve data collection gaps.
Review and validate SQL, dbt, and AI-generated code while documenting models, metrics, and design decisions.
Requirements
6+ years of experience in analytics, data engineering, or a closely related role.
Strong SQL and dbt skills, including incremental models and testing.
Hands-on Snowflake experience, including semantic modeling.
Experience building data quality tests and monitoring, and partnering with product teams to define metrics.
Fluency with AI coding tools such as Claude, including reviewing, testing, and validating generated outputs.
Experience working with privacy and compliance requirements in regulated environments, plus strong communication skills.
Nice to have
Snowflake Cortex, CoWork agents, or other LLM-based tooling.
Statistics and experimentation experience.
Healthcare, claims, insurance, or HIPAA familiarity.
Python, Fivetran or other ELT tools, and Tableau or other BI tools.
Culture & Benefits
Competitive salary, bonus opportunity, and equity package.
Medical, dental, and vision benefits.
401(k) retirement plan.
Paid vacation and company holidays.
Opportunity to contribute to a mission-driven company transforming healthcare in the United States.
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