> Markdown version of [/jobs/ext/3770984-data-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3770984-data-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform Engineer - **Company:** TypeSafe AI - **Location:** San Francisco, CA, United States - **Salary:** $210,000 - $285,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Information Engineering, Data Infrastructure, Data Transformation, Data Security, Operational Databases, SQL Databases, Backend, Apache Kafka, Vertica - **Published:** October 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1ed1819539a1a517 ## About the Role * Have experience in data engineering, infrastructure, or backend systems * Are familiar with Kafka, ClickHouse, a data orchestrator such as Dagster or Airflow, and similar technologies * Are comfortable with SQL, data transformations, and permissioning * Understand how data infrastructure supports BI and analytics * Take ownership, collaborate well, and adapt to changing requirements * Are excited about our mission and working on a small team We are hoping that you * Have built and operated large-scale, production data systems * Have experience building internal tools and supporting analytics * Have worked on a team with strong engineering standards * Are familiar with AI and its practical applications ## Description You'll build and own the data infrastructure and internal tooling that support our engineering, analytics, and business teams. You'll work across ingestion, storage, transformations, and access controls, helping make our data reliable and easy to use., * Build and maintain data pipelines, infrastructure, and internal tools * Support data transformations, analytical models, and BI workflows * Manage data access and permissioning * Improve reliability, performance, and data quality * Work with teams across the company to understand and support their data needs