Sr. AI Data Engineer

We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation.

You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible.

If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here.

The Senior AI Data Engineer builds and operates trusted data capabilities that support enterprise analytics and AI. This role owns the reliability and continuous improvement of key AI-powered data products, including Data Concierge and AskInsights, while also developing and optimizing data pipelines and models using dbt, SQL, and Alteryx.

Working across Data Engineering, Data Science, Governance, and business-aligned data teams, this role turns emerging AI use cases and traditional data requirements into secure, scalable, and reusable enterprise capabilities.

Data Engineering: Design and build maintainable data pipelines, transformations, and data models using modern data-engineering practices.

Production Ownership: Proactively monitor, support, troubleshoot, and continuously improve business-critical data and AI products.

AI Systems Understanding: Understand how enterprise data, semantic context, data models, APIs, and application components come together to enable reliable AI-powered experiences.

Technical Problem-Solving: Diagnose complex data, performance, integration, and production issues and implement durable solutions.

Data Quality & Reliability: Build appropriate testing, monitoring, observability, and governance into data products.

Collaboration: Work effectively across technical and business teams while reinforcing shared engineering standards and ownership.