Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
$220к-250к/год
$190к$210кмедиана$250к
По похожим ролям (48) ~ $210к/год
87
Хорошая вакансия
развернуть
Чёткая роль руководителя-практика и понятный план на первый год дают заметные перспективы, хотя на старте предстоит много самостоятельной работы с проблемными данными.
Кликните для подробной информации
Сначала практикаСовременный стекПольза для медициныПоддержка развития
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Director of Data (Healthcare): Building the data backbone for a women's health provider by stabilizing ETL pipelines, consolidating warehouse modeling, and establishing governed, AI-ready data with an accent on healthcare data, HIPAA compliance, and trustworthy metrics. Focus on designing a canonical data platform, solving data-quality and lineage gaps, and building the data engineering function.
Location: 100% remote within the U.S. or hybrid with at least three days per week in the New York City office.
Salary: $220,000–$250,000 annually, plus equity and benefits.
Company
hirify.global is a comprehensive women's health provider delivering longitudinal hormonal, metabolic, and reproductive care through multidisciplinary teams.
What you will do
Build and own the data backbone for trustworthy company-wide decision-making.
Audit and stabilize ETL pipelines across Fivetran, Mozart, and Snowflake, improving reliability and freshness.
Consolidate duplicated models, metrics, and transformation logic into a documented canonical modeling and semantic layer.
Establish data-quality testing, monitoring, alerting, lineage, and a single source of truth.
Define the data strategy, governance, access controls, and AI-ready data layer for a HIPAA-covered healthcare environment.
Partner with Product, Growth, Finance, Strategy, Clinical, analysts, and leadership while building the data engineering function over time.
Requirements
8+ years in data engineering or analytics engineering, including direct and recent ownership of production ETL and warehouse modeling.
Strong SQL, cloud warehouse experience, ETL tooling, and transformation and modeling layers; Snowflake is preferred.
Experience taking over brittle, duplicated, or undocumented pipelines and making them reliable, documented, and trusted.
Strong data modeling fundamentals and a bias toward a single source of truth.
Experience designing data governance and handling sensitive data, including security and access control in a regulated environment.
Nice to have
Healthcare or HIPAA experience, including EMR data, FHIR, and claims.
Experience with D2C growth metrics.
Experience with Amplitude, product event taxonomy, and AI- or LLM-assisted analytics such as semantic layers, metric catalogs, or Claude skills.
Experience building and managing a data team at a high-growth Series B to D startup.
Culture & Benefits
Full-time player-coach leadership role with hands-on pipeline work prioritized initially.
Remote work within the U.S. or a three-day-per-week NYC hybrid arrangement.
Unlimited PTO, 11 company holidays, and professional development and employee learning programs.
Medical, dental, and vision insurance; HSA and FSA; disability coverage; wellness stipend; and paid parental and family-planning support.
401(k), company laptop, work-from-home stipend, commuter benefits where applicable, and a collaborative mission-driven environment.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →