Data Engineer, ClimateAi

• B.S. in Computer Science, Computer Engineering, or a closely related field (recent graduates encouraged to apply)
• Solid programming fundamentals in Python and working knowledge of SQL
• Exposure to cloud services (AWS, GCP, or Azure) as demonstrated through coursework, internships, or personal projects
• Understands core data types, formats (CSV, Parquet, JSON), and ingestion patterns
• Strong problem-solving instincts: you debug methodically, read other people’s code carefully, and ask for help when blocked
• A growth mindset and openness to feedback. You treat code reviews and design feedback as opportunities to level up

Desirable

• As a Data Engineer I at ClimateAi, you will be a hands-on contributor on the team that powers our climate models, forecasts, and customer-facing products
• You’ll build and maintain the pipelines that turn raw climate, weather, and agronomic data into trusted, reliable datasets used every day by Data Science, ML Engineering, and Product
• This is an early-career role designed for a strong CS or Computer Engineering graduate who is excited to grow into a great data engineer
• You’ll work closely with senior engineers and a manager who is invested in your development — with regular code reviews, design feedback, and pairing on real production systems from day one
• Write production-grade Python and SQL to ingest, clean, and transform climate, weather, and agronomic datasets from a wide range of third-party sources
• Build and maintain scalable pipelines that perform scheduled and event-driven data workflows, following existing patterns and conventions
• Contribute to data integrations across AWS services and connect new data services end-to-end with guidance from senior engineers
• Participate in design discussions, code reviews, and team planning
• Write clear documentation for the pipelines, data sources, and dependencies you own
• Ask great questions and share what you’re learning!