Data Engineer
Hybrid (San Francisco), Hybrid (New York)$180k - $250kFull-timePosted 7mo ago
About the role
Data Engineer at Baseten to build and scale the internal data platform, transforming raw product and business data into reliable datasets to power decision-making across teams.
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
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
Skills
Required:core data models and semantic layersbatch and streaming data pipelines
Nice to have:inference and telemetry analysis
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 (offices 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
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Baseten
Inference is everything
Effortlessly serve optimized open source & custom models on the fastest, most reliable model delivery network.
AICloud InfrastructureDeveloper ToolsInference PlatformMachine LearningModel DeploymentModel Runtimesai-infrastructure-and-development
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