F
Fivetran
Senior Software Engineer (Metadata)
Skills
Google Cloud PlatformDockerPythonJavaC#GraphQLDatadogGrafanaData AnalysisAIAWSGitHubKubernetesCustomer SupportAzure
2 months ago
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Important information
Contract type:
Permanent
Salary:
$163,920 – $196,712 / year
Location:
Denver, CO, USA
Work mode:
Onsite
Published on:
22 August 2026
What they need
- 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 Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing
- 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 QE to deliver work that scales
- Design and implement features and performance improvements across the Metadata team’s services — discovery API, catalog, lineage, and run history
- Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
- Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
- Participate in and review technical designs and pull requests, providing constructive feedback to the team
- 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 your own project plans, and contribute to sprint and feature planning
- Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
- Participate periodically in the on-call rotation, and be mindful of security throughout your work
- Use 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- Experience working with distributed systems and cloud computing concepts
- 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 to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
- Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
- Demonstrated ability to write well-structured, performant, and well-tested code
- Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
- Experience with code reviews, design, troubleshooting, and testing
- Can identify design flaws in existing systems and propose improvements
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
- 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 up
- Experience in data processing (ETL, ELT) and/or cloud-based data platforms
- Experience building or working with metadata, catalog, lineage, or discovery/search systems
- Experience with GraphQL APIs and high-throughput, multi-tenant data services
- Familiarity with the analytics engineering workflow and the dbt ecosystem
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