Data Engineer

Stack

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

Nice to have

• ▹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

Soft skills

What we offer

• ▹Competitive compensation, including meaningful equity
• ▹100% coverage of medical, dental, and vision insurance for employee and dependents
• ▹Flexible PTO policy, including a company-wide Winter Break (offices closed from Christmas Eve to New Year's Day)
• ▹Paid parental leave
• ▹Fertility and family-building stipend through Carrot
• ▹Company-facilitated 401(k)
• ▹Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities

About the company

Baseten powers mission-critical inference for some of the world's most dynamic AI companies, including Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, Baseten helps companies operating at the frontier of AI bring cutting-edge models into production. The company is growing quickly and recently closed a $1.5B Series F round led by Altimeter Capital, Conviction Partners, and Spark Capital.