FloQast

Forward Deployed Data Engineer (Data Platform & Solutions)

FloQast • $116K — $216K *
Los Angeles, CA 90011In-Person
Enterprise Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 3+ years of hands-on experience in a relevant engineering or data integration role.
  • Advanced SQL proficiency for data management and analytics tasks.
  • Solid Python/scripting skills for data manipulation and troubleshooting.
  • Deep understanding of complex file structures and messy data handling.
  • Advanced Microsoft Excel skills for validation and auditing.

Responsibilities

  • Build end-to-end data integration flows using FloQast's Data Studio and Data Platform.
  • Transform and model structured and semi-structured data into application-ready formats.
  • Establish connections to upstream systems via APIs and cloud data warehouses.
  • Collaborate with Engineering to design reusable data integration recipes.
  • Partner with customers to turn messy data into reliable production flows.
  • Rapidly debug production data issues to maintain data integrity.
  • Provide feedback to Product and Engineering based on front-line experiences.

Benefits

  • Comprehensive Medical, Dental, and Vision insurance.
  • Family Forming benefits to support diverse family needs.
  • Life and Disability Insurance for added security.
  • Unlimited Vacation policy for work-life balance.
Full Job Description
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.

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


#LI-MP1

This job posting is for our Product Manager, the base pay range for this position is $116,000 - 216,000. Compensation is not limited to base salary. FloQast values our Total Rewards, and offers a competitive and elaborate Benefits Package including, but not limited to, Medical, Dental, Vision, Family Forming benefits, Life & Disability Insurance, and Unlimited Vacation. FloQast reserves the right to amend, change, alter, and revise pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to this position you understand that this specific pay range is contingent upon meeting the qualifications and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role.

About FloQast

FloQast is a provider of accounting workflow automation software created by accountants for accountants. The company was founded in 2013 by Mike Whitmire and Chris Sluty and is headquartered in Los Angeles, California. FloQast's software helps accounting teams close their books faster and more accurately by automating manual tasks and providing a centralized platform for collaboration and documentation. The company has raised over $93 million in funding and has over 1,000 customers, including Twilio, Zillow, and The Golden State Warriors.
Learn more about FloQast
Size
300 employees
Industry
Enterprise Technology
Founded
2013
* Ladders Estimates

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