R&D Software Engineer, AI

Staff R&D Software Engineer

From Fivetran's founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We're proud that more organizations continue to leverage our technology every day to become truly data-driven.

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on.

dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust.

It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:

• 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 Type Script.

This is a full-time hybrid position based out of our Denver, CO 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.

Technologies You'll Use

• Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, Big Query / Snowflake / Databricks, MCP protocol, React, Type Script, Kubernetes

What You'll Do

• Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what's actually worth pursuing for Fivetran AI's roadmap — then convince others
• Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
• Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don't create problems in another
• Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
• Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
• Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
• Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
• Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that…