Data Engineer
San Francisco · New York · San Francisco, California, United States
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
G&A › Data and Analytics — team source
Department: G&A › Data and Analytics
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now, or in the future, require employment-based visa sponsorship?
From the employer’s application form
What you’ll work on
Full postingDesign and maintain core data models and semantic layers
Develop and orchestrate batch and streaming data pipelines
Analyze inference and infrastructure telemetry data
Define and maintain company-wide metrics across product and customers
Enable self-service analytics through agents, tools and semantic layers
From the employer’s posting
Design and maintain core data models and semantic layers
Develop and orchestrate batch and streaming data pipelines
Analyze inference and infrastructure telemetry
Define and maintain company-wide metrics across product usage, performance, and customer lifecycle
Enable self-service analytics through agents and tools
What you’ll bring
All qualificationsPreferred experience
- Understanding of inference metrics such as latency, throughput and token usage
- Experience supporting B2B SaaS or consumption-based platforms
- Applying forecasting and predictive modeling such as ARIMA or Prophet
Qualification wording
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)
Tools in this posting
- Grafana
- Kafka
- Airflow
Source — Tool mentions in context
- 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
- 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
Benefits in the posting
Full benefits wording- (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)
From the employer’s posting.
About Baseten
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorOpen 5 monthsWe first saw this posting 150 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 150 days ago
- Recorded sightings
- 200
- Last seen by us
- Oct 31, 2026
- Employer says posted
- Mar 18, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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 details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, California, United States
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- Work authorization
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