🛠 Tech Stack

💼 About This Role

You'll design and build data infrastructure for a leading renewable energy company, developing pipelines that process real-time asset and trading data. You'll make a direct impact on clean energy operations using a cutting-edge stack. This hybrid role offers autonomy and cross-functional collaboration.

🎯 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 business-ready 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 Snowflake administration and optimization
• Strong Python and SQL skills for data processing

✨ Nice to Have

• Experience in energy, utilities, or financial services
• Knowledge of energy trading or asset management concepts
• Familiarity with data governance and regulatory compliance

🎁 Benefits & Perks

• 💰 Competitive compensation ($110k-$145k)
• 🏖️ Hybrid work environment (2-3 days in office)
• 🚀 Impactful work in renewable energy

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min

🚩 Heads Up

• Lists AI/LLM proficiency as a requirement despite not being core to data engineering
• Mentions no visa sponsorship (could limit candidate pool)
• Requires 4+ years experience but lists senior title with many responsibilities