Senior Software Engineer

Fivetran and dbt Labs are building data pipelines to power the modern data stack. 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. This is a full-time, fully remote position.

Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog

• Design and implement features and performance improvements across the Orchestration team's services.
• Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance.
• Write technical designs for feature-level work, seek feedback, and explain trade-offs.
• Participate in and review technical designs and pull requests.
• Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt.
• Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans.
• Break features into tasks, structure and execute project plans, and contribute to sprint and feature planning.
• Collaborate with product managers, QE, customer support, and peers.
• Participate periodically in the on-call rotation, and be mindful of security.
• Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and author SDLC artifacts.

• 5+ years of experience in the software industry, including designing and building backend services and reusable components.
• Experience with distributed systems and cloud computing concepts.
• Ability to write well-structured, performant, and well-tested code.
• Ability to independently lead feature-level software and design work.
• Can identify design flaws in existing systems and propose improvements.
• Experience with code reviews, design, troubleshooting, and testing.
• Proficiency 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 plus.
• Fluent in using AI code assistants and coding agents, and conversational AI (e.g., Claude, ChatGPT).

• Experience in data processing (ETL, ELT) and/or cloud-based data platforms.
• Experience building or working with schedulers, workflow orchestration, job queues, or distributed task execution systems.
• Experience with GraphQL APIs and high-throughput, multi-tenant data services.
• Familiarity with the analytics engineering workflow and the dbt ecosystem.

Oakland Pay Range: $174,915—$209,906.50 USD. Benefits include 100% employer-paid medical insurance, generous paid time off including paid vacation or flexible/unlimited vacation, paid sick time, inclusive parental leave, paid holidays, RSU stock grants, professional development, monthly cell phone stipend, and mental health support platform.