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Fireworks AI

AI inference platform for model deployment

Member of Technical Staff - Data

Data EngineeringConfirmed live in the last 24 hours
Full-timeSan Mateo, CA, USA$180k - $270k /yr

About the Job

Requirements

  • At least 5 years of experience in data engineering or similar roles.
  • Strong proficiency in SQL for querying and writing pipeline jobs.
  • Experience translating business needs into clear metrics, dimensions, and a data model.
  • Hands-on experience building and maintaining production data pipelines.
  • Excellent communication with senior-level technical and non-technical stakeholders.
  • Demonstrated autonomy in an environment with open-ended problems.
  • Availability to work in the San Mateo office 3 days per week.

Responsibilities

  • Partner with business teams and data platform engineers to design data models, engineer data pipelines, put them into production, and ensure they provide consumers with data needed to make decisions.

Desired Qualifications

  • Proficiency in Python or similar languages.
  • Experience with Google BigQuery.
  • Experience working with dbt, Coalesce, Airflow, or similar tools.
  • Experience using a data quality or observability tool such as Bigeye, Monte Carlo, or Great Expectations.

About the Company

Fireworks AI

AI inference platform for model deployment

Fireworks AI provides an AI inference platform that helps organizations run, customize, and deploy machine learning models. It supports deployment, fine-tuning, and inference workflows, with access to open-source models and on-demand deployment options through a subscription model. The platform enables users to configure and optimize models for production environments, manage variants, and scale AI workloads while controlling costs. Unlike some competitors, the emphasis is on end-to-end production-grade inference and fine-tuning across a range of clients, from tech firms to research institutions and enterprises, with tools tailored for rapid deployment and cost efficiency. The long-term goal is to expand the use of AI in production by building compound AI systems, growing the team, and delivering broader platform capabilities that accelerate AI adoption in real-world settings.

Company size
201-500
Company stage
Series D
Total funding
$1.8B
Headquarters
Redwood City, CA
Founded
2022

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