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Unity Technologies logo
Unity Technologies

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law.

Senior Data Engineer

Business Development RepBusiness Development RepOtherRemoteTeam 5,001-10,000

Location

United States

Posted

103 days ago

Salary

0

No structured requirement data.

Job Description

Senior Data Engineer

Unity Technologies

As a Data Engineer on the Feature Platform team, you’ll play a critical role in building the data foundations that power machine learning, experimentation, and optimization across our ads ecosystem. You’ll operate at the core of our ML infrastructure, transforming raw, high-volume event data into reliable, production-grade feature datasets used for bidding, attribution, and ranking systems. 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.

Job 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).
  • Experience with Go is a plus, particularly for collaboration on high-throughput feature serving services.
  • 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.
  • You might also have 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.

Benefits

  • Comprehensive health, life, and disability insurance
  • Commute subsidy
  • Employee stock ownership
  • Competitive retirement/pension plans
  • Generous vacation and personal days
  • Support for new parents through leave and family-care programs
  • Office food snacks
  • Mental Health and Wellbeing programs and support
  • Employee Resource Groups
  • Global Employee Assistance Program
  • Training and development programs
  • Volunteering and donation matching program

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