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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Baseten, Inc - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Software as a Service, Information Engineering, Data Files, Data Infrastructure, Data Integrity, Programming Tools, Machine Learning, Systems Development Life Cycle, Data Streaming, Prophet, Grafana, Data Layers, Core Data, Low Latency, Apache Kafka, Data Management, Apache Beam - **Published:** August 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-san-francisco-ca--087c6285-6bc1-46e8-83ac-2bf03f17aa5d ## About the Role * 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, Analysis Skills, Apache Kafka, Artificial Intelligence (AI), Business Operations, Business-to-Business (B2B), Corporate Policies, Data Analysis, Data Management, Data Modeling, Data Science, Data Sets, Documentation, Economics, Finance, Legal, Machine Learning, Marketing, Metrics, Performance Modeling, Product Engineering, Product Shipments, Programming Tools, Sales, Scalable System Development, Software as a Service (SaaS), Startup, Strategic Planning, Team Player, Technical Recruiting, Telemetry, Writing Skills ## Description 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)