Member of Technical Staff, Data Platform
Fireworks
Listing collected from Fireworks's career site. NextChapter is independent of Fireworks.
San Mateo, CA · Posted November 11, 2026
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Where San Mateo, CA ranks
Where San Mateo, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for engineering pay after cost of living$216k · of 94
- #1Best cities for finance pay after cost of living$162k · of 35
- #1Best cities for HR pay after cost of living$158k · of 15
- #1Best cities for legal pay after cost of living$238k · of 20
- #1Best cities for security pay after cost of living$241k · of 10
- #1Best cities for media and entertainment pay after cost of living$209k · of 9
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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Pay compared with the market
This listing does not state pay. Across 130 open member of technical staff listings that state pay, the middle half runs $208,000 to $270,000 and the median is $240,000.
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Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
About Us:
Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
The Role
We are looking for a Member of Technical Staff, Data Platform to design and maintain the scalable data infrastructure and frameworks the rest of the data team builds on. You will be part of the team that owns our warehouse, ETL orchestrator, data governance, data compliance and data quality framework. You will ensure that domain-specific data engineers can build the pipelines our business teams need, and that every business user can effectively access and leverage company data.
What You'll Do
Ensure the warehouse scales, queries are performant, and cost is under control.
Contribute to data architecture principles, ensuring our data model stays organized as it scales up.
Ensure data ingestion and ETL orchestration works reliably and efficiently.
Manage access controls to balance least-permissions policies with the speed of the business growth.
Ensure our data quality framework effectively protects the accuracy of critical data our business depends on.
Ensure our data platform complies with privacy regulations such as GDPR and CCPA, including PII classification, data retention, and data subject deletion requests.
Quickly and efficiently resolve any incidents impacting production, conduct postmortems, and identify improvements to ensure reliable operations.
What We Are Looking For
REQUIRED
5+ years in data platform or data infrastructure engineering.
Experience administering a cloud data warehouse at scale, including performance tuning and cost management.
Experience operating ETL orchestration or transformation frameworks in production (Airflow, Coalesce, dbt or similar).
Proficiency in Python (or a similar language) for building data tooling and automation.
Experience with Terraform or other infrastructure as code.
Experience being on-call for data systems and responding to production incidents.
PREFERRED
Experience with GCP services including BigQuery, IAM, GCS, etc.
Experience managing a data quality or observability tool (e.g. Bigeye, Monte Carlo, Great Expectations).
Experience designing access controls, data catalog and data lineage services.
Experience implementing GDPR/CCPA compliance in data systems (e.g. PII tagging, retention policies, deletion workflows).
Why Fireworks?
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.
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.