Data Engineer
At a glance
Mid-level Data Engineering role at Baseten. San Francisco · full-time · $180,000–$250,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and upkeep data models and semantic layers that turn product and business data into usable datasets
- Create batch and streaming pipelines with Apache Beam, Kafka, Airflow, or comparable tools
- Examine inference and infrastructure telemetry from OpenTelemetry, Grafana, and other observability sources
- Set shared measures for usage, performance, and customer lifecycle, then support self-service analytics
- Protect data quality with tests, documentation, and governance
What you bring
- You understand inference measures such as latency, throughput, token use, and model performance
- You have supported B2B SaaS or consumption-based platforms
- You have applied forecasting or predictive models, such as ARIMA or Prophet, to business processes
Who this fits
This mid-level role suits a data engineer who works across data engineering, analytics, and data science, and partners with teams across Product, Engineering, Finance, Marketing, and Sales. The role is based in San Francisco and is hybrid.
From the employer
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).
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