Data Engineer
Company websitebaseten.co (Baseten, opens in new tab)
Base salary $180K to $250K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA +1 more
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (40 min ago) · observed since
All places named
- San Francisco, CA
- New York, NY
About this job
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We’re hiring a Data Engineer to build and scale Baseten’s internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making.
You’ll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics.
You’ll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning.
RESPONSIBILITIES
Design and maintain core data models and semantic layers
Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks
Analyze inference and infrastructure telemetry, including data from OpenTelemetry, Grafana, and other observability tools
Define and maintain company-wide metrics across product usage, performance, and customer lifecycle
Enable self-service analytics through agents and tools, with well-structured semantic layers and context
Ensure data reliability and quality through testing, documentation, and governance
PREFERRED QUALIFICATIONS
Understanding of inference metrics such as latency, throughput, token usage, and model performance
Experience supporting B2B SaaS and/or consumption-based platforms
Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes
BENEFITS
Competitive compensation, including meaningful equity
(U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Source: Baseten on Ashby · View original posting (opens in new tab)
This listingData Engineer$180K to $250K
Senior People Business Partner$180K to $230K
Product Data Scientist$185K to $240K
Data Scientist (Analytics)$185K to $260K
Product Enablement Lead$185K to $205K
NVIDIA, OEM & Chip Providers Lead$175K to $215K
Field Productivity & Enablement Lead$185K to $205K
Chart as a table
| Role | Published base |
|---|---|
| Data Engineer (this listing) | $180K - $250K |
| Senior People Business Partner | $180K - $230K |
| Product Data Scientist | $185K - $240K |
| Data Scientist (Analytics) | $185K - $260K |
| Product Enablement Lead | $185K - $205K |
| NVIDIA, OEM & Chip Providers Lead | $175K - $215K |
| Field Productivity & Enablement Lead | $185K - $205K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-03-18
Where this pay comes from
Location as the employer wrote it: San Francisco • New York
USD 180,000 – 250,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
