Data Engineer
Join Baseten as a Data Engineer to build and scale the internal data platform for AI-driven decision-making.
Posted by employer 7 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
We enable companies operating at the frontier of AI to bring cutting-edge models into production.
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the Data Engineer at Baseten focuses on building and scaling the internal data platform, transforming raw data into actionable insights for various teams. Key skills include designing data models and pipelines using technologies like Apache Beam and Kafka, alongside a strong understanding of AI inference metrics. This position is ideal for someone with experience in B2B SaaS environments and a background in data analytics or engineering. Baseten's rapid growth and commitment to AI innovation provide a dynamic setting for impactful work.
Joblaze insights
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Airflow, Apache Beam, Grafana, Kafka, OpenTelemetry.
- What seniority level is this role?
- baseten targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Engineer role at baseten.
From the original posting
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
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
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