Senior Full Stack 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.

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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

We’re looking for a Senior Software Engineer to join Cloud Signals, the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product.

Cloud Signals owns:

Billing and usage metering: turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system.

Vortex, our telemetry and event pipeline: high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems.

The Notification System: the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform.

Usage and admin reporting: giving customers clear visibility into consumption as we move toward consumption-based pricing.

As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build.

This is a full-time remote position.

Technologies You’ll Use

Python and TypeScript 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)

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

What You’ll Do

Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production.

Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout.

Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations.

Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost.

Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit.

Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks.

Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team.

Skills We’re Looking For

5+ years building and operating production software, with a passion for solving complex engineering problems

Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity

Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus

Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus

Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems

Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes)

Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar)

Experience with code reviews, testing, and troubleshooting, and with being on-call

Clear written and verbal communication, including writing design docs and working with cross-functional partners

Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals

Bonus Skills

Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe)

Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg)

Experience with notification or messaging platforms (email, in-app, webhooks)

Experience with data processing (ETL/ELT), dbt, or other modern data stack tools

Experience working on SaaS platforms at scale