Customer Success Engineer

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. 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. 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 Fivetran and dbt are building data pipelines to power the modern data stack for thousands of companies. We’re looking for a customer solutions engineer, Customer Solutions Engineering (CSE) team — frontline technical support for dbt Labs customers across tickets, email, and video, ranging from simple questions to complex technical issues. This is a full-time remote position based out of the AMER-East region, Texas, and Philadelphia. Technologies You’ll Use dbt (Core and dbt platform), SQL, APIs, YAML/JSON, Zendesk, Datadog or LogicMonitor, common data warehouses (e.g. Snowflake, BigQuery) What You’ll Do Support customers through diverse channels — tickets, email, and video — managing a range of issues from simple queries to intricate technical dilemmas Build and deepen your technical expertise across all facets of the dbt platform, so you're ready to assist with any challenge Take ownership of customer issues, from initial troubleshooting through to resolution Enhance our documentation, ensuring it's both technically accurate and easy to understand Proactively seek out professional development opportunities, always aiming to bring more to the team and our users Learn dbt Core and the dbt platform, and build technical expertise broadly across all areas of our product Collaborate with peers, engineering, and other stakeholders across time zones to deliver a high-quality support experience Use conversational AI tools to support researching, authoring, and reviewing support responses and internal documentation Skills We’re Looking For Demonstrated expertise in coding languages, SQL, APIs, and understanding network requests Exceptional written and verbal communication skills A genuine drive for solving problems and helping others A strong technical foundation, especially within a SaaS support environment Prior experience in roles that merge the technical with the client-facing, such as engineering support or customer success Experience building documentation or technical how-to guides using a variety of media (text, images, video) A creative attitude toward problem solving, and enjoyment working directly with business stakeholders to help them get past roadblocks Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing support and enablement content Bonus Skills​ Hands-on experience with YAML or JSON structures Proficiency with monitoring and analytics tools like Datadog or LogicMonitor A deep understanding of ETL processes, data warehousing, and contemporary data stack concepts Ability to break down complex technical concepts and communicate them to stakeholders verbally and in writing Practical experience with dbt #LI-REMOTE