Senior Software Engineer
About Us
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.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and design to deliver work that scales.
This is a full-time, fully remote position.
Technologies You'll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processingDevelop, maintain, and test high-quality, maintainable code, and optimize critical paths for performanceWrite technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisionsParticipate in and review technical designs and pull requests, providing constructive feedback to the teamImprove test coverage with comprehensive unit tests and refactor code to drive down tech debtTroubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plansBreak features into tasks, structure and execute your own project plans, and contribute to sprint and feature planningCollaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalabilityParticipate periodically in the on-call rotation, and be mindful of security throughout your workUse AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground upExperience working with distributed systems and cloud computing conceptsDemonstrated ability to write well-structured, performant, and well-tested codeAbility to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offsCan identify design flaws in existing systems and propose improvementsExperience with code reviews, design, troubleshooting, and testingProficiency in a modern backend or systems language such as Python, Java, C++, or C#Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plusFluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platformsExperience building or working with schedulers, workflow orchestration, job queues, or distributed task execution systemsExperience with GraphQL APIs and high-throughput, multi-tenant data servicesFamiliarity with the analytics engineering workflow and the dbt ecosystem