Senior Data Engineer

Unity is a leading game engine company that powers play for over 3 billion consumers each month. They are seeking a Senior Data Engineer to build the data foundations that support machine learning and optimization across their advertising ecosystem, focusing on creating scalable data pipelines and maintaining data quality standards.

Responsibilities:

• Design, build, and operate scalable, production-grade data pipelines and curated datasets powering ads optimization and ML systems
• Own end-to-end offline data flows from raw event ingestion to feature-ready datasets ensuring correctness, reproducibility, and SLA compliance
• Develop and maintain large-scale batch and streaming workflows (Python / Java / SQL) with strong focus on performance, cost-efficiency, and reliability
• Contribute to our Feature Store platform, including collaboration with the high-throughput online serving layer (Go-based services)
• Translate complex product and monetization logic into durable, extensible data models serving analytics and machine learning use cases
• Improve observability, validation frameworks, and data quality standards across pipelines
• Drive architectural decisions and engineering best practices within the Feature Platform team

Requirements:

• Strong Data Modeling & SQL Expertise: deep experience designing scalable, well-structured data models. Strong understanding of partitioning, schema evolution, and performance optimization
• Production-Grade Pipeline Experience: hands-on experience building and operating large-scale ETL/ELT systems using Python, Java, SQL, or similar technologies in distributed environments
• Distributed Processing: experience with frameworks such as Spark or Flink. Strong understanding of parallel computation and performance tuning
• Systems Awareness: understanding of how offline data systems integrate with online serving layers (e.g., feature stores, APIs, low-latency systems)
• Modern Cloud Infrastructure: experience working in cloud-native environments, containerized systems, Kubernetes, and orchestration tools
• Ownership & Reliability Mindset: strong focus on data correctness, observability, and long-term maintainability. Ability to independently drive complex initiatives
• Experience with Go is a plus, particularly for collaboration on high-throughput feature serving services
• Experience with ML infrastructure or feature stores
• Experience working with ads, attribution, or monetization data
• Familiarity with experimentation and metrics pipelines
• Exposure to high-scale backend systems