AI agents that automate reconciliations, close workflows, and journal entries — fully auditable, human-approved every step. Trusted by 3,500+ teams worldwide. Backed by Insight, Norwest and ICONIQ.
About the role
Design, build, and maintain automated test frameworks across the full data stack — covering data pipelines, ETL/ELT workflows, REST APIs, and backend services that power large-scale financial data processing. Validate data integrity, schema correctness, and transformation accuracy across ERP-to-FloQast ingestion flows (NetSuite, Sage Intacct, SAP, and others).
More about this role
We are looking for a Senior Quality Engineer to join our Data Platform Quality Engineering team. In this role, you will drive quality across the systems that move, transform, and surface financial data for FloQast's customers — spanning ERP integrations, large-scale data processing, and the accounting workflows that thousands of finance teams depend on every day. You will design and scale automation frameworks that validate data accuracy, pipeline reliability, and system performance, while partnering closely with data engineers, backend developers, and product teams.
Design, build, and maintain automated test frameworks across the full data stack — covering data pipelines, ETL/ELT workflows, REST APIs, and backend services that power large-scale financial data processing.
Validate data integrity, schema correctness, and transformation accuracy across ERP-to-FloQast ingestion flows (NetSuite, Sage Intacct, SAP, and others).
Identify performance bottlenecks and reliability gaps in data-heavy workflows — whether that’s slow ingestion on large customer datasets, pipelines that produce inconsistent results under load, or sync jobs that behave differently across customer...
Browse similar: Startup jobs