The RoleAs 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.
What You'll Do- 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!
What We're Looking For- 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
Bonus Points- 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.
CompensationThe base compensation range for employees based in the US is $115,000-145,000 and equity in line with experience and company stage. This salary range may be inclusive of several career levels at ClimateAi and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, business need and US location.
What We Offer You- Competitive salary and equity
- Medical, dental, vision benefits
- Learning budget per year
- Unlimited PTO policy with minimum time off requirements
- Flexible working hours on many teams
- Culture of diversity and inclusion including employee resource groups
- Work with smart, curious, passionate people and be part of the mission to help the world
