Forward Deployed Data Engineer (Data Platform & Solutions)

FloQast 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 FloQast applications. As a Forward Deployed Data Engineer (Data Platform & Solutions), you will own data integrations end to end. You will use FloQast’s Data Platform and Data Studio to connect to source systems, extract data, create mappings, transform it into FloQast-ready models, validate the results, and publish it to FloQast 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.

Responsibilities

Build end-to-end flows using FloQast’s Data Studio and Data Platform to connect, extract, map, transform, validate, and publish customer data; Cleanse, reshape, and normalize structured and semi-structured data (large CSVs, TSVs, Excel) into clean, reusable, application-ready models; Establish robust connections to upstream systems via APIs, sFTP, data sharing, and cloud data warehouses like Snowflake; Partner directly with core Engineering to design, build, and scale standardized, reusable data integration recipes; Work directly with customers, Partners, Implementation, and Customer Success to translate messy real-world financial data into working production flows; Rapidly debug production data issues, including schema mismatches, mapping gaps, and data variances; Act as a key internal stakeholder to help Product and Engineering improve UI recipes and roadmap future platform features

Requirements

3+ years of hands-on experience in Solutions Engineering, Technical Implementation, Analytics Engineering, Data Integration, or a customer-facing Data Engineering role; Advanced SQL proficiency; solid Python/scripting skills for data manipulation and API troubleshooting; Deep comfort analyzing complex file structures, handling messy/incomplete source data, and building out API-based data connections; Advanced proficiency in Microsoft Excel for data validation and audit matching; A practical ownership mindset with a bias for action; Ability to thrive in ambiguity and enjoy moving fast without heavy process overhead

Nice to have

Familiarity with financial data models, accounting hierarchies, or hands-on experience with major ERPs/accounting systems (e.g., Oracle, SAP, Workday, NetSuite, OneStream); Familiarity or experimentation with LLMs and AI tools for automated data prep, cleansing, or schema mapping; Experience working with cloud data warehouses like Snowflake or AWS Redshift

Benefits

Medical; Dental; Vision; Family Forming benefits; Life & Disability Insurance; Unlimited Vacation