🛠 Tech Stack

💼 About This Role

You'll build and scale the core analytics infrastructure for a fast-growing Web3 technology organization, designing end-to-end data systems that transform raw data into trusted insights. Your work will empower data-driven decisions across product, engineering, marketing, and finance teams. This role uniquely blends data engineering, analytics engineering, and platform ownership in a high-impact environment.

🎯 What You'll Do

• Own end-to-end analytics data pipelines, including ingestion, transformation, and monitoring.
• Design scalable self-serve data products like curated datasets and dashboards.
• Implement data quality, observability, and reliability frameworks.
• Develop key business analytics covering product, growth, and revenue metrics.

📋 Requirements

• 5+ years in analytics engineering, data engineering, or similar roles.
• Advanced SQL expertise including data modeling and query optimization.
• Strong Python skills for data pipelines and automation.
• Hands-on experience with Airflow for workflow orchestration.

✨ Nice to Have

• Experience with Metabase or similar BI tools.
• Understanding of SaaS metrics like funnel, retention, and LTV.
• AI-native working approach with modern tools.

🎁 Benefits & Perks

• 💰 Competitive USD salary aligned with experience and impact.
• 📈 Stock options for company growth participation.
• 🏡 Fully remote flexible work environment.
• ⏰ Flexible hours focused on output and work-life balance.
• 🌐 Cutting-edge Web3 and blockchain infrastructure work.

📨 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