🛠 Tech Stack

💼 About This Role

You'll work alongside senior engineers and analysts to build and maintain ETL/ELT pipelines and model clean datasets for a growing data team. Your core impact will be making data more accessible across the business through reliable data infrastructure. This role covers the full data lifecycle, from tooling decisions to cross-functional collaboration.

🎯 What You'll Do

• Build and maintain ETL/ELT pipelines for reliable data movement
• Model clean, well-documented datasets for analytics
• Collaborate with analysts and product teams on data quality
• Contribute to data quality monitoring and alerting

📋 Requirements

• 1–4 years of experience in data engineering or analytics engineering
• Solid SQL skills and working knowledge of Python
• Familiarity with data warehousing concepts and modern stack
• Hands-on experience with dbt, Airflow, Snowflake, or similar

✨ Nice to Have

• Experience in gaming, entertainment, or high-volume consumer apps
• Familiarity with event tracking platforms like Segment or Amplitude

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Comprehensive health coverage
• 💰 Equity package
• 📚 Learning stipend
• 🏡 Remote-first culture

📨 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