Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$180к-240к/год
$180к$200кмедиана$230к
По похожим ролям (49) ~ $200к/год
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
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Крутая вакансия
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Чётко очерченная роль в инженерии данных в хорошо финансируемой AI-компании даёт возможность работать над важными production-системами, но обязательные три дня в офисе ограничивают гибкость.
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Три дня в офисеНа переднем крае AIПонятные задачиСовременный стекМасштабирование компании
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Member of Technical Staff, Data (AI): Building business-critical data pipelines and data models for analytics, experimentation, and forecasting with an accent on production reliability, metric definition, and business alignment. Focus on designing scalable pipelines, translating complex business questions into actionable data structures, and ensuring data quality for senior stakeholders.
Location: Hybrid in San Mateo; required to work in the office three days per week
Salary: $180K–$240K annually, plus equity
Company
Fireworks AI provides infrastructure for building, training, and serving specialized AI models, including text, image, embedding, audio, and multimodal models.
What you will do
Build and maintain business-critical production data pipelines as the data platform scales.
Partner with business teams to support analytics, experimentation, forecasting, and growth.
Translate business needs into clear metrics, dimensions, and data models.
Design data solutions with data platform engineers and put pipelines into production.
Ensure data consumers receive reliable, actionable information for decision-making.
Requirements
5+ years of experience in data engineering or similar roles.
Strong proficiency in SQL for querying and writing pipeline jobs.
Hands-on experience building and maintaining production data pipelines.
Experience translating business needs into metrics, dimensions, and data models.
Excellent communication with senior-level technical and non-technical stakeholders.
Demonstrated autonomy in open-ended problem-solving environments.
Proficiency in Python or similar programming languages.
Experience with Google BigQuery.
Experience with dbt, Coalesce, Airflow, or similar tools.
Experience using a data quality or observability tool such as Bigeye, Monte Carlo, or Great Expectations.
Availability to work in the San Mateo office three days per week.
Culture & Benefits
Work on AI infrastructure problems including low-latency inference and scalable model serving.
Use emerging technologies shaping how businesses and developers work with AI.
Operate in a fast-growing environment with autonomy, ownership, and direct impact.
Collaborate with engineers and AI researchers focused on curiosity and innovation.
Compensation includes equity.
Inclusive, equal-opportunity workplace committed to diversity.
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