If you’re interested, please send an email with your resume, LinkedIn, or Github to [email protected]
Info
As a Founding Data Engineer at Pursuit, you will be instrumental in building and maintaining the data infrastructure that powers our AI-driven public sector intelligence platform. You'll work on systems that process millions of documents and data points to deliver actionable insights to our customers.
As an ideal candidate you should have 3-5+ years of experience.
Responsibilities include:
- Design and implement robust data pipelines that can handle diverse data sources (PDFs, web pages, government databases) at scale with high reliability
- Feel comfortable designing and data modeling structures that will be efficient, optimized, and structured for customer usage.
- Build and maintain data quality frameworks to ensure accuracy and completeness of extracted information
- Develop validation systems for ML model outputs, including automated testing and monitoring
- Implement data transformation workflows that standardize and clean messy public sector data
- Build infrastructure for continuous model evaluation and improvement
- Work directly with customers to understand data quality requirements and implement solutions
- Assuming complete responsibility for your tasks—as a key part of the foundational team, you are presented with the unique opportunity to make substantial contributions to both product development and engineering aspects, while fostering direct, professional relationships with our clientele.
- Collaborating closely with the CEO & CTO.
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