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As a Staff Software Engineer at Fivetran, you will develop enterprise-grade software, focusing on enhancing capabilities for large clients. Responsibilities include leading project design and debugging, collaborating across teams, maintaining code quality, and contributing to customer success. You will stay updated on technology trends and advocate for process improvements.

As a Software Engineer II at Fivetran, you will work on connector development, improving performance, reliability, and analytical capability. You’ll patch software, build database drivers, optimize sync services, review code, and mentor junior team members, ensuring technical excellence across your services.

As a Senior Systems Engineer for Business Applications at Fivetran, you will manage and support corporate and legal systems, focusing on Jira as your primary tool. Responsibilities include configuration, customization, troubleshooting, and documentation, as well as collaborating with stakeholders to enhance business processes and automation.

As a Senior Software Engineer, you will enhance Fivetran's data validation service by developing new features, improving software architecture, troubleshooting data replication, and maintaining high-performance systems. This role emphasizes a strong commitment to reliability and data-driven solutions.

As a Senior Customer Support Engineer, you will partner with customers to resolve issues, lead technical projects, onboard new team members, and improve support processes. You will tackle technical challenges and drive escalations to ensure a superior customer experience in a supportive role.

As a Senior Customer Support Engineer at Fivetran, you will take ownership of customer cases, ensure timely resolutions, support troubleshooting across multiple channels, and contribute to knowledge management efforts while collaborating with team members and engineering.

The Principal Software Engineer will lead the architecture and development of Fivetran's Data Lake product, collaborating with product teams to design capabilities, implement and operate large-scale data lake systems, and improve performance and scalability. Responsibilities include analyzing issues, ensuring operational excellence, and influencing cross-functional teams.