Senior Data Engineer, Agentic AI

Senior Data Engineer, Agentic AI Applications

Engineering | Santa Clara, CA (3 days hybrid in office)

Must be located in or near Santa Clara, CA to be considered.

We’re an AI-driven SaaS automation provider for corporate finance that automates back-office business processes involving tasks, analytics, and responses in Accounts Payable and Accounts Receivable. By leveraging natural language processing, artificial intelligence, and machine learning, based on proprietary small language models and commercial LLMs, Auditoria removes friction and repetition from mundane tasks while automating complex functions and providing real-time visibility into cash performance.

Corporate finance and accounting teams use Auditoria to accelerate business value while minimizing heavy IT involvement, improving business resilience, lowering attrition, and accelerating business insights.

Founded in 2019 and backed by KPMG, Workday Ventures, Dell Technologies, Venrock, Innovius Capital, Sentinel Global, Neotribe Ventures, Engineering Capital, and Firebolt Ventures, we build AI Team Mates that drive intelligent automation by combining fine-grained analytical orchestration of a company’s typical financial and audit workflows with conversational AI, delivering rapid value to the finance/audit back office.

We’ve received numerous awards including:

• CB Insights Fintech 100 – 2025
• Global Excellence Awards – Best AI-Driven Finance Automation Platform – 2025 Winner
• Q3 2024 Constellation Short List™ for AI-Driven Cognitive Applications for the fifth year in a row.
• The Gartner Emerging Tech Impact Radar:
  Artificial Intelligence Report 2024 named Auditoria as a sample vendor for Composite AI.
• Named a sample vendor for intelligent applications in finance in the Hype Cycle for Autonomous Accounting, 2024, the Hype Cycle for Finance AI and Advanced Analytics, 2024, and the Hype Cycle for the Future of Enterprise Applications, 2024 reports.

We are scaling an AI/ML-enabled Enterprise SaaS solution that powers agentic automation for corporate finance operations across multiple Fortune 500 companies. As a Senior Data Engineer, you’ll be instrumental in building and optimizing the data infrastructure that powers our next-generation Smart Research platform and Smart Bots , enabling real-time financial intelligence and autonomous decision-making.

You’ll own critical components of our data architecture during this high-growth phase, working with modern data stack technologies including, but not limited to, MySQL/Postgres, Snowflake, Mongo

DB, and implementing medallion architecture patterns (bronze-silver-gold) to support both operational systems and AI/ML workloads. This role is critical to ensuring data quality, performance, and governance as we scale our agentic AI capabilities.

• Data Pipeline Architecture & Development: designing, building, and maintaining the systems and workflows that move, transform, and process data from various sources to destinations where it can be used for analysis, AI applications, or business operations.
• Database & Data Warehouse Optimization: designing efficient data storage structures and improving query performance to ensure fast, reliable access to data for analytical and operational needs.
• Enterprise Integration & Data Sourcing : connecting to and extracting data from various business systems (like ERP platforms) to make that data available for use across the organization.
• Data Quality & Observability : implementing systems that monitor, validate, and ensure the accuracy and reliability of data while providing visibility into how data pipelines are performing.
• Multi-Tenant Architecture & Security: designing data systems that safely separate and protect multiple customers’ data within shared infrastructure while ensuring compliance and access controls.
• AI/ML Support & Collaboration : working with data scientists and AI engineers to prepare, transform, and deliver data in formats optimized for training and running machine learning models and AI applications.
• Documentation & Best Practices: creating clear technical documentation and establishing standardized approaches for data…