Forward Deployed Data Engineer (Data Platform & Solutions)

Overview As Forward Deployed Data Engineer at FloQast, you own end-to-end data integrations, building trusted connections between source systems and FloQast applications. You will collaborate across Product, Engineering, Customer Success, and Partners to deliver durable data solutions and successful customer launches. You will shape Data Studio and the Data Platform, turning business needs into scalable data flows and models. This role combines hands-on data work with cross-functional leadership to drive practical, production-ready integration capabilities in the accounting ecosystem. Compensation / BenefitsMedicalDentalVisionFamily Forming benefitsLife & Disability InsuranceUnlimited Vacation ResponsibilitiesBuild and manage end-to-end data flows including connection, extraction, mapping, transformation, validation, and publishingShape and evolve Data Studio and Data Platform in collaboration with Product and EngineeringAnalyze source systems to understand structures, APIs, and model needs for new integrationsConnect FloQast to customer source systems (ERPs, file sources, APIs) using patterns like sFTP and APIsCreate mappings for new sources and FloQast models, ensuring accurate normalizationTransform source data into FloQast data models for consistent downstream useDevelop custom data models and transformation logic for non-ERP systems (subledgers, banks, billing, etc.)Collaborate with customers, partners, Implementation, Customer Success, Product, and Engineering to deliver durable data solutionsTroubleshoot mapping, transformation, and publishing issues across implementations and platformsResolve data variances to ensure accuracy and trust in dataSupport successful customer launches by validating and publishing source dataScale integration patterns and recipes to onboard new sources efficientlyIdentify opportunities to improve Data Studio and platform capabilities and processes Key requirements3+ years in data integration, technical implementation, analytics engineering, data migration, or similar hands-on roleSQL, Python, and scripting skills with data pipelines, APIs, and file handlingAdvanced proficiency in Microsoft ExcelExperience with large CSV, TSV, and Excel sourcesExperience with structured and semi-structured data, schema mapping, and data validationExperience cleansing, reshaping, and validating data for downstream useComfort with incomplete or messy source dataStrong communication and cross-functional collaboration skillsAbility to operate in ambiguity with rapid progress without heavy processesStrong debugging and end-to-end troubleshooting skillsOwnership mindset focused on safe and reliable production datastrong communicationcross-functional collaborationproblem-solvingSQLPythonscripting