Senior Orchestration Engineer — Remote & Scalable Data Platform

Fivetran, Inc.

Canada

Hybrid

CAD 140,000 - 168,000

Full time

11 days ago
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Benefits offered by this job

Health insurance
Paid time off
Professional development
Team events
Cell phone stipend
Mental health platform

Job summary

Fivetran, Inc. in Canada is seeking a senior software engineer to join our Orchestration team, owning the design and delivery of features end-to-end across high-throughput APIs and data models.

You’ll work with Python, Rust, GraphQL, and modern data systems, develop high-quality back-end services, improve performance, and collaborate with product, QE, and support teams. This full-time, remote role offers opportunities to use AI tooling and contribute to scalable data infrastructure.

Qualifications

  • Experience designing backend services and reusable components from the ground up.
  • Strong understanding of distributed systems and cloud concepts.
  • Proven ability to write well-structured, tested code.

Responsibilities

  • Design and implement features across metadata services (discovery, catalog, lineage, run history).
  • Develop, maintain, and test high-quality code with performance in mind.
  • Write technical designs and review trade-offs with the team.
  • Improve test coverage and reduce tech debt through refactoring.
  • Troubleshoot production issues and participate in on-call rotation.

Skills

Distributed systems
Backend services
Python
Rust
GraphQL
CI/CD
Cloud platforms

Education

Bachelor's degree in Computer Science

Tools

PostgreSQL
Kubernetes
Docker

Job description

Fivetran, Inc. in Canada is seeking a senior software engineer to join our Orchestration team, owning the design and delivery of features end-to-end across high-throughput APIs and data models.

You’ll work with Python, Rust, GraphQL, and modern data systems, develop high-quality back-end services, improve performance, and collaborate with product, QE, and support teams. This full-time, remote role offers opportunities to use AI tooling and contribute to scalable data infrastructure.

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