Forward Deployed Data Engineer (Data Platform & Solutions)

What You'll Do:

Data Integration & Analytics Engineering

Build End-to-End Flows: Use FloQast’s Data Studio and Data Platform to connect, extract, map, transform, validate, and publish customer data.

Transform & Model Data: Cleanse, reshape, and normalize structured and semi-structured data (large CSVs, TSVs, Excel) into clean, reusable, application-ready models.

API & Warehouse Connectivity: Establish robust connections to upstream systems via APIs, sFTP, data sharing, and cloud data warehouses like Snowflake .

Scale Integration Recipes: Partner directly with core Engineering to design, build, and scale standardized, reusable data integration recipes so new sources can be onboarded more efficiently over time.

Post-Sales Solutions & Collaboration

Partner with Customers & Delivery: Work directly with customers, Partners, Implementation, and Customer Success to translate messy real-world financial data into working production flows.

Triage & Troubleshoot: Rapidly debug production data issues, including schema mismatches, mapping gaps, and data variances, ensuring complete data trust.

Feedback Loop to Product: Act as a key internal stakeholder. Use your front-line experience to help Product and Engineering improve UI recipes and roadmap future platform features.

What You'll Bring:

Core Technical Profile

Experience: 3+ years of hands-on experience in Solutions Engineering, Technical Implementation, Analytics Engineering, Data Integration, or a customer-facing Data Engineering role.

The Data Stack: Advanced SQL proficiency and solid Python/scripting skills for data manipulation and API troubleshooting.

File & API Fluency: Deep comfort analyzing complex file structures, handling messy/incomplete source data, and building out API-based data connections.

Spreadsheet Mastery: Advanced proficiency in Microsoft Excel for data validation and audit matching.

Execution Mindset: A practical ownership mindset with a bias for action. You thrive in ambiguity and enjoy moving fast without heavy process overhead.

Nice to have:

Financial Domain Knowledge: Familiarity with financial data models, accounting hierarchies, or hands-on experience with major ERPs/accounting systems (e.g., Oracle, SAP, Workday, NetSuite, OneStream).

AI / LLM Exposure: Familiarity or experimentation with LLMs and AI tools for automated data prep, cleansing, or schema mapping.

Warehouse Experience: Experience working with cloud data warehouses like Snowflake or AWS Redshif

Why You’ll Love Working With Us:

FloQast’s Data Platform team is a place where technical, curious, and thoughtful builders solve meaningful problems with real customer impact. You’ll have the opportunity to own integrations end to end, shape how data moves through the FloQast platform, and help expand our reach across the accounting ecosystem. This is a team where strong operators can move quickly, take ownership, and make a visible difference in both customer outcomes and platform capability.

We value collaboration, initiative, and practical problem solving. You’ll work alongside teammates who care deeply about building reliable systems, solving hard data problems, and helping each other succeed. Here, you’ll have the space to be scrappy, think creatively, and contribute to a platform that is becoming foundational to how modern accounting teams work.