Full-time (40h/week), Remote  About Us We are a technology company on a mission to transform how organizations use data. We believe that for businesses to lead their industries, they must effectively harness their data. Our innovative, AI-powered analytics platform was built to make data-driven insights universally accessible, eliminating the need for complex infrastructure or large specialist teams. We empower non-technical users to connect to hundreds of data sources, ask questions in plain English, and get immediate, actionable insights. By unifying disparate data and enabling easy collaboration, we help businesses make faster, smarter decisions and turn their data into a pivotal competitive advantage. About the role We are seeking a Customer Success Engineer to handle customer-specific technical implementations and platform work. This is a crucial, forward-facing technical role designed to support our customers by addressing their unique account issues and technical needs, complementing our existing data team. This position will report directly to the CTO and work closely with internal stakeholders like the Product Manager and the Customer Success team. The primary focus will be on technical execution, with the potential for limited direct client communication via email or tickets. You will be instrumental in ensuring our customers are successfully onboarded and supported, directly impacting their success and our company's growth. Key responsibilities: Configure, debug, and manage ETL pipelines for new customer implementations. Build and maintain custom Airbyte connectors (Python or low-code/no-code) to meet specific customer data integration needs. Troubleshoot and resolve issues with Fivetran connectors. Provide AWS infrastructure support for customer environments, particularly managing S3 and IAM roles for secure data transfer Handle API integration work for customer accounts. Collaborate with and support our existing data team contractors. Utilize AI tools to debug SQL queries and troubleshoot various technical issues. Perform data quality assurance and validation to ensure data integrity. Set up customized BI dashboards for customer accounts within our platform. Review user LLM session logs to diagnose issues with our RAG pipeline and create detailed tickets for the engineering team. Requirements: Mid-level or higher engineering experience with a strong background in data engineering and ETL processes. Proficiency with Fivetran, Airbyte or equivalent ETL tools. Proficiency with AWS, specifically S3 and IAM roles. Solid experience with API integration, and debugging. Basic to advanced SQL proficiency for debugging and data validation. Proven ability to work independently and take ownership of customer-facing technical issues. Comfortable debugging issues throughout a data platform stack (from front-end to database and infrastructure) and writing clear, actionable bug tickets for the development team. Tools: Cloud: AWS (S3, IAM) Data Tools: Fivetran, Redshift, pgVector/Postgres, Metabase Languages: Ruby, Python Frontend: React (experience is helpful) Authentication: Keycloak AI: OpenAI, Anthropic Project Management: Trello Nice to have: Familiarity with AI/LLM tools and debugging (or enthusiasm to learn) Existing Airbyte/Fivetran/general ETL connector development experience Familiarity with data transformation tools and data modeling (eg. dbt) More advanced SQL and data analysis skills We would want at least 4 hours of overlap in the morning (9AM-1PM) as we have people in other timezones where the morning makes sense. Ideally would be US hours overlap (9AM-6PM or thereabouts) as reactive issues can come in from clients throughout the day.