🛠 Tech Stack

💼 About This Role

You'll design and build data infrastructure for a clean energy company using Snowflake, Dagster, dbt, Modal, and GitLab. Your pipelines will process real-time asset performance and trading data, directly supporting renewable energy operations. This hybrid role offers high autonomy and impact on clean energy.

🎯 What You'll Do

• Design and maintain scalable data infrastructure for enterprise analytics
• Build and orchestrate ETL/ELT workflows using Dagster
• Develop dbt models for transforming raw data into analytical datasets
• Implement data validation, testing, and monitoring frameworks

📋 Requirements

• 4+ years of hands-on data engineering experience
• Proficiency in Dagster for pipeline orchestration
• Advanced-level Snowflake administration
• Proficiency in dbt for data transformation
• Strong Python and SQL skills

✨ Nice to Have

• Experience in energy, utilities, or financial services industries
• Knowledge of energy trading concepts or asset management
• Familiarity with data governance frameworks (SOX, GDPR, CCPA)

🎁 Benefits & Perks

• 💰 Competitive compensation ($110k-$145k)
• 🏖️ Hybrid work environment (2-3 days in office)
• 📈 Growth and autonomy with end-to-end project ownership
• 🛡️ Comprehensive benefits (implied for direct hire)
• 🌱 Mission-driven work in renewable energy

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Final Round with Team· 45 min

🚩 Heads Up

• No visa sponsorship available (H-1B, TN, E-3)
• Role mixes data engineering with some solutions architecture tasks