Fivetran

Senior Systems Engineer - R&D Business Systems

Fivetran
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5 months ago
Toronto, CanadaSenior

Responsibilities

  • Lead development of custom systems, tools, and dashboards supporting R&D operations and the feature development lifecycle.
  • Design, develop, and maintain bidirectional integrations among Jira, Zendesk, Salesforce, and other go-to-market and general-and-administrative systems.
  • Build and maintain AI agents and internal tools that help leaders access data, draft technical requirements and designs, synthesize customer feedback, and align with strategic goals and OKRs.
  • Design and build production-grade backend services and integration workflows in Python and TypeScript.
  • Define API contracts, data models, and integration patterns emphasizing reliability, idempotency, and security.
  • Write tested code with unit, integration, and end-to-end test coverage.
  • Own observability, operational readiness, and production support for internal tools and data pipelines.
  • Build maintainable React-based internal applications with strong user experience, accessibility, and performance practices.
  • Use AI assistants and coding agents such as Claude Code for incident resolution, feature development, testing, investigations, and documentation.
  • Create technical documentation for integrations, data models, and deployed systems.
  • Build, maintain, and govern self-service analytics dashboards using Sigma and Looker Studio in partnership with the centralized analytics team.

Requirements

  • At least 5 years of software industry experience, including designing and developing reusable backend and frontend libraries or experimentation platforms from scratch.
  • Experience building API, webhook, and enterprise-system integrations using Python, Java, or similar programming languages, including low-code and full-code solutions.
  • Strong SQL skills and experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift.
  • Experience with BI and data visualization tools such as Sigma, Looker Studio, Tableau, or Power BI.
  • Hands-on experience building and deploying AI/ML-powered utilities or agents using LLMs such as OpenAI or Claude.
  • Experience administering and customizing enterprise systems including Jira, Slack, Zendesk, Salesforce, and Aha!.
  • Experience deploying systems using CI/CD practices and ensuring observability.
  • Strong English communication skills and the ability to connect technical details with business outcomes.
  • Experience collaborating cross-functionally with global engineering, product, design, and data analytics teams.
  • Ability to independently drive complex initiatives through phased deliverables aligned with organizational goals and OKRs.
  • Preferred: 3+ years of automation or operations experience in a high-growth SaaS or technology company.
  • Preferred: familiarity with the modern data stack, including dbt, Airflow, Fivetran, or Segment.
  • Preferred: experience building custom internal tools, AI agents, or web applications for business operations.

Benefits

  • Full-time hybrid role based in Toronto with two days in the office each week and remote flexibility.
  • 100% employer-paid medical insurance, subject to country and worker type.
  • Paid time off, paid sick time, inclusive parental leave, holidays, and volunteer days off.
  • RSU stock grants.
  • Professional development and training opportunities.
  • Virtual happy hours, free food, and team-building activities.
  • Monthly cell phone stipend.
  • Mental health support platform with therapy, coaching, and mindfulness resources for employees and covered dependents.

Tech Stack

Amazon RedshiftApache AirflowdbtGoogle BigQueryGoogle Cloud PlatformGraphQLJavaJavaScriptLooker StudioPythonReactSnowflakeSQLTypeScript

Categories

Fivetran

About Fivetran

1,001-5,000 employees

Fivetran builds a managed data integration platform that extracts data from hundreds of SaaS apps and databases and loads it into cloud data warehouses for analytics and AI teams. Sold as a subscription SaaS service, it provides prebuilt connectors, automated schema management, and ELT/replication to destinations like Snowflake, BigQuery, Databricks, and Redshift. Founded in 2012 and headquartered in Oakland, it serves customers such as Autodesk, Condé Nast, JetBlue, and Morgan Stanley.

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