🛠 Tech Stack

💼 About This Role

You'll build end-to-end data pipelines in Snowflake that directly power Power Digital's internal AI platform. You'll own data from raw ingestion through to AI-ready features, collaborating with data science and product teams. This role offers the chance to work with AI coding tools daily and ship fast in a growing firm.

🎯 What You'll Do

• Build and own end-to-end data pipelines in Snowflake
• Partner with ML engineers and data scientists on AI infrastructure
• Consolidate fragmented data sources into reliable 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 solutions from ingestion to production
• Experience with Snowflake or similar cloud data warehouse
• Working knowledge of AWS (S3, Lambda, EventBridge)

✨ Nice to Have

• Active use of AI tools in development workflows (e.g., Claude Code, Cursor, Copilot)
• Hands-on exposure to AI workflows (embeddings, vector databases, RAG systems)
• Looker or similar BI/semantic layer experience

🎁 Benefits & Perks

• 💰 Base salary paid in USD
• 🏖️ Unlimited Time Off available on day one
• 🏡 Fully flex work environment: full-remote, in-office, or hybrid
• 🩺 Healthcare stipend: $50/month
• 📈 Unlimited opportunities for growth and leadership

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min