Opening.
What you'll do
This role sits at the intersection of data engineering, business intelligence, and platform engineering—requiring partnership with software development engineers, scientists, data analysts, and business stakeholders across various verticals.
- Build and maintain efficient, scalable, and privacy/security-compliant data pipelines, curated datasets for AI/ML consumption, and AI-native self-service data platforms using an AI-first development methodology.
What you need
- 5+ years of data engineering experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Experience developing, deploying and managing AI products at scale
- Experience with data modeling, warehousing and building Extract, Transform, and Load (ETL) pipelines for both analytics and ML use cases
- Experience building datasets or features for machine learning models or self-service analytics
- Extensive hands-on experience with Generative AI (GenAI) enhanced development pipelines, AI coding assistants, and prompt engineering
- Demonstrated ability to build tools, frameworks, or platforms that enable others
Why this matters
This role will remain posted until filled. Applicants should apply via our internal or external career site.
