🛠 Tech Stack

💼 About This Role

You'll build end-to-end data solutions for Power Digital's internal AI platform, owning pipelines from raw ingestion through to AI-ready outputs. You'll collaborate with data science and product teams to directly translate data systems into functional AI capabilities.

🎯 What You'll Do

• Build end-to-end data pipelines in Snowflake for AI products
• Partner with ML engineers to build AI-specific data infrastructure
• Consolidate fragmented data sources into automated pipelines
• Design scalable data models for analytics and ML feature engineering

📋 Requirements

• Strong proficiency in Python and SQL
• Experience building end-to-end data pipelines from ingestion to production
• Experience with Snowflake or similar cloud data warehouse
• Working knowledge of AWS (S3, Lambda, EventBridge)

✨ Nice to Have

• Hands-on exposure to AI workflows (embeddings, vector databases, RAG)
• Looker or similar BI/semantic layer experience

🎁 Benefits & Perks

• 💰 Competitive salary with commission opportunities
• 🏥 Medical, Dental, Vision with up to 100% employer contribution
• 🏖️ Unlimited Time Off available on day one
• 🌍 Fully flex work environment - full remote, in-office, or hybrid

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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