Analytics Engineer

Fireworks • San Mateo, CA

13d • $180,000 - $240,000

About The Position

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. We're hiring several Analytics Engineers to embed with the functions that run the business — Finance, Product-Led Growth, People, and Partnerships. Our data org runs as a hub and spoke model. The central Data Platform team is the hub: it owns company-wide data infrastructure, modeling standards, data quality, reliability and observability, governance, and the developer experience everyone else builds on. You would be a spoke. You report into Data Platform, but you sit with your function, join its planning, and spend most of your time answering its questions with data — and the remainder engineering on top of the platform's shared infrastructure and standards. That means you get both things analytics engineers usually have to choose between: real ownership of a domain, and a real platform underneath you. You own the analytics roadmap and execution for your function and you're the voice of its priorities back to the central team. You are not a ticket queue, and you are not building a private stack in a corner — your models reconcile to the same certified definitions everyone else uses.

Requirements

• 5+ years in data analysis, analytics engineering, and/or data engineering
• Strong SQL proficiency — you can design a good schema, write your own queries, and not bog down the warehouse
• Strong visualization proficiency — you can build your team the dashboards they need so they can leverage the data for efficient decision making
• Working knowledge of data engineering — you already know how to put up a pull request, respond to code review feedback, etc.
• Strong analytical thinking — you decompose ambiguous problems, find the root cause behind a number that moved, and turn a maybe into a defensible explanation
• Clear communication with non-technical partners — you can translate system logic into terms your stakeholders can act on
• A bias toward building systems over managing processes — you treat recurring manual work as a problem to solve

Nice To Haves

• Proficiency in Python for automation, data work, and integrations
• Experience building LLM-powered agents or automation workflows on top of analytics — after the core numbers are hardened
• Experience with modern BI and transformation tooling (Sigma, Looker, Tableau; dbt, Coalesce, or similar)
• Background in AI infrastructure, developer tools, or usage-based platforms — token pricing, GPU-hour metering, model mix, and cost-per-request as first-class business metrics
• Depth in one of the domains above — billing and revenue systems, product and web analytics and experimentation, HRIS/ATS platforms and workflow automation, or partner and marketplace economics

Responsibilities

• Own your function's data domain end to end — define what should be measured, model it, and be accountable for the numbers when someone asks where they came from.
• Build and maintain pipelines in BigQuery and Coalesce, aligned with company data standards, certified definitions, and governance requirements.
• Establish authoritative models for your domain that reconcile against the company's certified account, usage, and revenue definitions — not a second set of numbers.
• Build the dashboards your team runs the business on, and make them trustworthy enough to replace spreadsheet exports and one-off pulls.
• Contribute back to the platform — the frameworks, standards, and tooling you use are shared, and improvements you make land for everyone.
• Surface problems before they're asked about — variance, anomalies, mix shifts, and completeness gaps should reach your stakeholders from you first.
• Automate the manual. Once the core data is hardened, build the agentic and LLM-powered workflows that take the repetitive work off your team's plate — reconciliation, anomaly detection, routine reporting, operational handoffs.

Benefits

• Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
• Build What's Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
• Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI — no bureaucracy, just results. You'll own your function's data and automation infrastructure, not sit in a ticket queue.
• Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
• Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed