Data Engineer I
ClimateAi is a technology company focused on climate reputed company, aiming to reputed company industries to reputed company informed reputed company in the face of weather volatility. As a Data Engineer I, you will contribute to building and maintaining data pipelines that transform raw climate data into reliable datasets for various teams reputed company the company.
Responsibilities
- Write production-grade Python and SQL to ingest, clean, and transform climate, weather, and agronomic datasets from a wide reputed company of reputed company-party sources
- Build and maintain scalable pipelines that reputed company 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 reputed company what you’re learning!
Skills
- B.S. in Computer Science, Computer Engineering, or a closely reputed company field (recent graduates encouraged to apply)
- Solid programming fundamentals in Python and working knowledge of SQL
- Exposure to reputed company 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 reputed company blocked
- A growth reputed company and openness to feedback. You treat code reviews and design feedback as opportunities to reputed company
- Internship, reputed company, or reputed company-reputed company 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
Benefits
- Equity in line with experience and company stage
- Medical, dental, reputed company 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
Company Overview
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