Baseten

Data Engineer

Baseten
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8 months ago
San Francisco, CA, USA or New York, NY, USAMid Level
H1B sponsor

Base Salary

$180k - $250k/yr

Responsibilities

  • Design and maintain core data models and semantic layers.
  • Develop and orchestrate batch and streaming data pipelines using Apache Beam, Kafka, Airflow, or similar frameworks.
  • Analyze inference and infrastructure telemetry from OpenTelemetry, Grafana, and other observability tools.
  • Define and maintain company-wide metrics covering product usage, performance, and customer lifecycle.
  • Enable self-service analytics through agents and tools with structured semantic layers and context.
  • Ensure data reliability and quality through testing, documentation, and governance.

Requirements

  • Understand inference metrics such as latency, throughput, token usage, and model performance.
  • Have experience supporting B2B SaaS and/or consumption-based platforms.
  • Apply forecasting and predictive modeling, such as ARIMA or Prophet, to business processes.

Benefits

  • Competitive compensation including meaningful equity.
  • 100% medical, dental, and vision insurance coverage for employees and dependents.
  • Flexible PTO, including a company-wide Winter Break with offices closed from Christmas Eve through 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 and related learning and networking opportunities.

Tech Stack

Apache AirflowApache BeamApache KafkaGrafana

Categories

Data Engineering
Baseten

About Baseten

201-500 employees

Baseten builds an AI inference platform that provides tooling, infrastructure, and hardware to deploy, scale, and serve machine-learning models in production. The company sells managed model serving and developer tooling to software teams at AI product companies, with customers including Notion, Abridge, Writer, and Cursor. Privately held and headquartered in San Francisco, it focuses on high-availability, globally distributed inference for production workloads.

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