Forward-Deployed Data Engineer: End-to-End Integrations

Data Integrations at Flo Qast

Flo Qast is building the indispensable home base for the modern accountant: an AI-powered platform where accounting work is connected, automated, and intelligently executed. As we expand our Data Platform and Data Studio capabilities, we are making it faster and easier to connect source systems, model data, and publish trusted information across Flo Qast applications.

As a Forward Deployed Data Engineer, you will own data integrations end to end. You will use Flo Qast’s Data Platform and Data Studio to connect to source systems, extract data, create mappings, transform it into Flo Qast-ready models, validate the results, and publish it to Flo Qast applications. You will work cross-functionally with customers, partners, Implementation, Customer Success, Product, and Engineering to deliver successful launches and durable data solutions.

This is a hands‑on role for someone who can turn source data, business needs, and platform capabilities into working data flows.

Use our Data Studio and Data Platform to build and manage end-to-end data flows across connection, extraction, mapping, transformation, validation, and publishing. Beyond operating the platform, you will be a key stakeholder in its continued evolution, partnering with Product and Engineering to shape future capabilities, improve workflows, and help drive the ongoing build-out of both Data Studio and the broader Data Platform.

• Analyze source system data to understand file structures, APIs, data relationships, and model requirements for new integrations and use cases.
• Connect Flo Qast to customer source systems including ERPs, file-based sources, APIs, and other upstream systems using supported connectivity patterns such as sFTP, APIs, and data sharing.
• Create mappings for new source systems and new Flo Qast data models, ensuring source data is accurately normalized for downstream application use.
• Map and transform source data into Flo Qast data models so it can be consumed consistently across Flo Qast applications.
• Build custom data models and transformation logic that extend Flo Qast’s surface area to new systems and use cases, including non-ERP systems such as subledgers, banks, billing, payments, and other external platforms.
• Partner cross-functionally with customers, partners, Implementation, Customer Success, Product, and Engineering to turn business needs into working integrations and durable data solutions.
• Troubleshoot mapping, transformation, and publishing issues across customer implementations and internal platform workflows.
• Resolve data variances between source systems and published outputs to ensure accuracy, consistency, and trust in the data.
• Support successful customer launches by ensuring source data is connected, validated, and published accurately into Flo Qast applications.
• Scale integration patterns, mappings, and recipes so new sources can be onboarded more efficiently and consistently over time.
• Identify opportunities to improve Data Studio recipes, platform capabilities, and operating processes so integrations become faster, more scalable, and easier to support.

• 3+ years of experience in data integration, technical implementation, solutions consulting, analytics engineering, data migration, or a similar hands-on role.
• SQL, Python, and scripting skills, with hands-on experience working with data pipelines, APIs, file analysis, and file manipulation.
• Advanced proficiency in Microsoft Excel.
• Experience working with large CSV, TSV, and Excel-based source files.
• Experience working with structured and semi-structured data, transformation logic, schema mapping, and data validation.
• Experience cleansing, reshaping, and validating data for downstream consumption.
• Comfort working with incomplete, inconsistent, or messy source data.
• Strong communication skills and the ability to work effectively across customers, partners, Implementation, Customer Success, Product, and Engineering.
• Comfort operating in ambiguity and moving quickly without heavy process or close oversight.
• Strong debugging and troubleshooting ability across end-to-end data flows, including identifying root causes…