Software Engineer, Backend Developer, Cloud Engineer - Software

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.

• Python and Type Script for backend services and APIs (Rust, Go, or Java experience also welcome)
• Relational databases (PostgreSQL) and cloud data warehouses (Snowflake)
• Event streaming and messaging systems (Kafka or similar) for high-throughput telemetry and usage pipelines
• AWS (plus exposure to GCP or Azure), Docker, and Kubernetes
• Terraform for infrastructure as code
• Datadog for observability, alerting, and on-call
• Third-party billing and payment platforms, plus internal and public REST APIs
• AI coding assistants and agents (e.g., Claude Code) as part of everyday development
• Own the technical direction for Cloud Signals’ systems: set architecture, write and socialize design docs, and turn ambiguous business goals (consolidated billing, consumption pricing, telemetry expansion) into clear, staged technical plans.
• Lead the design and delivery of the Fivetran + dbt billing integration: data models, usage pipelines, reconciliation, and migration strategy, so that every customer is billed correctly and on time.
• Evolve Vortex into a reliable, cost-efficient, scalable event platform: onboard new event types, cut operational dependencies and cost, and make sure data lands in the warehouse correctly and observably.
• Grow the Notification System into a dependable shared service that other teams can adopt easily.
• Work closely with Product, Finance, Rev Ops, Data, and partner engineering teams across both companies, often filling gaps in specs and prototyping to test ideas before you commit to a direction.
• Raise operational excellence: define SLOs, improve alerting and runbooks, take part in on-call, and lead incident response and blameless postmortems for business-critical systems.
• Mentor engineers at every level, give thoughtful code and design reviews, and set an example for engineering practices, including effective, responsible use of AI tools in the SDLC.
• Work across teams, departments, and time zones as a technical partner to engineering leadership on roadmap, staffing, and build-vs-buy decisions.

• 8+ years building and operating production software,…