Hiring: Senior R&D Software Engineer, Fivetran AI Company: Fivetran Location: Austin, CO Job Posted Time: 2026-09-03 11:09:46 Employment Type: Full-time / Remote Target Skills & Keywords : AWS, BigQuery, Data Warehouse, Databricks, Delta Lake, Docker, ELT, ETL, Fivetran, GCP, Iceberg, Java, Kubernetes, LLM, PostgreSQL, Python, R, RAG, REST, React, SQL, Snowflake, TypeScript, dbt About the job Experience: •5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Required Skills: •Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. •Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. •Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. •Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. •We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. •This is a full-time hybrid position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. •Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes •Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Compensation: •$163,920 - $196,712 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!