Systems Engineer, Integrations (Data and Systems)

Technologies You'll Use

Our core systems are Salesforce, Netsuite, Coupa, Workday, and Zendesk. Our current integration stack includes Celigo and Fivetran itself.

Working knowledge of one or more of our business applications, with a desire to keep learning, is necessary. You should also be fluent in SQL and strong in a general purpose programming language such as Python or Typescript.

A software engineering background is strongly preferred, with proficiency in API integrations, integration testing, and monitoring/alerting solutions.

What You'll Do

• Partner with others on the Systems Engineering Architecture team to define our preferred integration patterns to satisfy our integration needs.
• Enforce standards, guidelines, and governance for data and process integration across various internal systems.
• Handle inquiries from other technical teams, often requiring investigation and code changes.
• Work with business partner teams to understand business processes and build appropriate integrations to support them.
• Plan and execute integration engineering end-to-end, from design to code.
• Ensure that our integrations are proactively monitored.
• Create dashboards and alerts that provide end-to-end visibility into system performance and stability, minimizing downtime and improving incident response times.

Skills We're Looking For

• 5+ years of experience in Systems Engineering roles, with a focus on integrating data and applications.
• Proficiency in a general purpose programming language is required.
• Strong SQL proficiency is required.
• Working knowledge of business applications such as Salesforce, Netsuite, Coupa, Workday, and Zendesk.
• Ability to balance short-term tactical needs with long-term strategic vision, driving organizational best practices around quality.
• Strong communication and collaboration skills with both technical and non-technical colleagues.

Bonus Skills

• Familiarity with iPaaS platforms and reverse ETL tools, their capabilities, and tradeoffs.
• Experience working with data pipelines (ETL/ELT) and SQL for data validation or monitoring.