ClimateAi is looking for a talented and motivated Data Engineer to join its growing team in San Francisco, California. This is an exciting opportunity to work with a cutting-edge climate technology company that leverages artificial intelligence and advanced data analytics to help businesses build climate resilience and make data-driven decisions. If you are passionate about big data, cloud technologies, and building scalable data pipelines, ClimateAi offers a collaborative environment where your work can have a meaningful global impact.
Job Overview
| Field | Details |
|---|---|
| Company Name | ClimateAi |
| Role | Data Engineer |
| Qualification | Bachelor’s or Master’s Degree in Computer Science, Data Engineering, Information Technology, or related field |
| Job Location | San Francisco, California, USA |
| Salary | $115,000 – $145,000 per year |
| Work Type | Hybrid / On-site |
| Job Type | Full-Time |
| Job Level | Entry Level |
| Industry | Climate Technology / Artificial Intelligence / Data Analytics |
Job Description
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.
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
Selection Process
- Application Submission
- Resume Screening
- Technical Assessment
- Technical Interview
- Hiring Manager Interview
- Final HR Discussion
- Offer Letter & Onboarding
How to Apply
- Visit the ClimateAi Careers Page
- Search for the Data Engineer position
- Review the job requirements and responsibilities
- Prepare your updated resume and relevant documents
- Complete the online application form
- Submit your application
- Monitor your email for interview updates and further communication
