Data Engineer I

We believe resilience is just as urgent as mitigation. We are building technology to empower people and industries to make smarter, faster decisions in the face of weather volatility.

Our mission is to climate-proof the global economy, with the goal of achieving zero loss of lives, livelihoods, and nature. From farmers and supply chain managers to risk analysts and policymakers, our users depend on ClimateAi’s forecasts and insights to prepare for what’s coming and take action in time.

In 2022, ClimateAi was recognized by TIME Magazine’s Best Inventions, alongside innovators like OpenAI, for our breakthrough work in climate resilience technology.

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.

Our hybrid work schedule includes 3 in-person days at one of our core locations (SF,  Boston) and 2 remote days.

• →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!

• 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

• Internship, co-op, or open-source experience writing data pipelines in production-like environments
• Coursework or projects in distributed systems, machine learning, or climate/environmental science
• Exposure to data pipeline scheduling and orchestration tools, such as Apache Airflow, Dagster, Argo Workflows, or similar

We are open to Boston, MA or San Francisco, CA for this position and will require in person coworking time with other ClimateAi employees 3x/week.

At ClimateAi we are driven by a united passion to tackle climate change. We believe in a culture of trust and transparency, where feedback is considered an opportunity for us to contribute to each other's personal and professional growth. We recognize the value of diversity and are an equal-opportunity employer. We hire people who are collaborative, adaptable, communicate well, and love to learn. Expect to give and receive constructive feedback, as we are constantly seeking to push the innovation frontier while simultaneously growing as individuals and as a team.