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FloQast

Posted 1 month ago

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Solutions Data Engineer

San JoseOn-siteFull-time

AI Summary

Data Integrations engineer responsible for end-to-end data flows, from source systems to FloQast-ready models, including mapping, transformation, validation, and publishing across applications.

About this role

Data Integrations at FloQast

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, 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.

What You'll Do:

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 FloQast 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 FloQast data models, ensuring source data is accurately normalized for downstream application use.

  • Map and transform source data into FloQast data models so it can be consumed consistently across FloQast applications.

  • Build custom data models and transformation logic that extend FloQast’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 FloQast 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.

    • What You'll Bring:

  • 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 and driving issues to resolution.
  • A practical ownership mindset with a bias toward getting working data into production safely and reliably.

    • Nice to have:

  • Experience working with financial data models and systems, such as hands-on experience with one or more major ERPs or accounting systems such as Oracle, SAP, Workday, or OneStream.
  • Working knowledge of accounting and financial data, with the judgment to recognize when balances, relationships, or hierarchies do not make business sense.
  • Experience working in a model-driven or metadata-driven data platform where source data is mapped, normalized, and published into reusable application-ready models.
  • Experience creating custom transformation logic or custom data models to support downstream reporting, operational workflows, analytics, or application use cases.
  • Experience troubleshooting customer-specific data issues in production environments, including source data defects, mapping gaps, schema mismatches, and transformation failures.

    • 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.

    Skills

    APIsCSVData CleansingData MappingData ModelingData PipelinesData ProvenanceData ReshapingData TransformationData ValidationDebuggingETLExcelMetadata-drivenProduction DeploymentPythonScriptingSemi-structured DataSFTPSQLStructured DataTroubleshootingTSV

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