🛠 Tech Stack

💼 About This Role

You'll design and operate production-grade data pipeline systems powering machine learning and experimentation across Unity's massive ads ecosystem. Your core impact is transforming high-volume event data into curated feature datasets used for bidding, attribution, and ranking. This role goes beyond data processing—you'll own the full software lifecycle from architecture to observability.

🎯 What You'll Do

• Design and operate scalable data pipeline systems and feature datasets
• Own end-to-end offline data flows with correctness and SLA compliance
• Develop batch and streaming systems (Python/Java/SQL) with focus on performance
• Build and contribute to the Feature Store platform and online serving layer
• Translate complex product logic into well-engineered systems

📋 Requirements

• Deep experience with distributed systems in production
• Hands-on ETL/ELT pipeline experience using Python, Java, or SQL
• Experience with Spark or Flink in batch and streaming modes
• Understanding of offline data systems integration with online serving layers
• Experience with cloud-native environments and Kubernetes

✨ Nice to Have

• Experience with ML infrastructure or feature stores
• Background in ads or attribution systems
• Familiarity with Go for high-throughput serving services

🎁 Benefits & Perks

• 🏥 Comprehensive health, life, and disability insurance
• 📈 Employee stock ownership
• ✈️ Generous vacation and personal days
• 👶 Support for new parents through leave and family-care programs
• 🧠 Mental Health and Wellbeing programs

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical interview· 60 min
3. 3System design interview· 60 min
4. 4Hiring manager interview· 45 min