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Engineer II - Recommendations

4 months, 1 week ago
Anywhere
Full-time
Mid Level
Data Engineer
Data Science and Analytics
Agile Apache Spark AWS Elasticsearch FastAPI Figma Firebase GCP Hadoop JavaScript Kafka Machine Learning MLOps MongoDB Node.js Redis REST API Snowflake SQL WebSockets
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VRChat

VRChat

VRChat provides a platform that enables users to create and explore immersive virtual reality experiences, allowing for social interaction and community-driven content creation through its Unity SDK.

Internet Software & Services
51-250
Founded 2014
$95M raised
View All Jobs 9

Description

  • Develop, maintain, and optimize scalable data pipelines, backend services, and APIs that power recommendations, content discovery, groups, and events.
  • Design and implement data models and schemas to support both analytical reporting and real-time recommendation systems.
  • Build, train, and operationalize personalization systems that leverage platform event and usage data to surface relevant content and communities.
  • Implement and maintain large-scale data processing jobs using big data technologies (e.g., Spark, Kafka) to ingest, transform, and serve high-volume datasets.
  • Collaborate with data scientists, product managers, and engineers to ensure correct data capture, feature availability, and alignment of ML-driven features with product goals.
  • Participate in the design and implementation of backend systems including REST and websocket APIs, caching layers, queueing systems, and cloud orchestration.
  • Contribute to evolving technical and product capabilities by moving solutions from simple heuristics to sophisticated, data-backed personalization approaches.
  • Respond to incidents and be available occasionally to troubleshoot and resolve production outages.

Requirements

  • 3+ years of experience in software engineering with a strong focus on data engineering and building scalable backend systems for SaaS products or online platforms.
  • Proven experience building and optimizing production-grade ETL/ELT data pipelines.
  • Strong proficiency in SQL and experience optimizing databases for both analytical queries and high-throughput real-time access.
  • Experience with big data technologies such as Spark, Hadoop/Beam, or Kafka.
  • Experience operating at scale on cloud platforms such as AWS or Google Cloud.
  • Experience with multiple languages and technologies, for example Python, JavaScript/Node.js, MongoDB, and Redis; familiarity with Snowflake and FastAPI is a plus.
  • Experience with Elasticsearch, data warehousing, and machine learning systems or working closely with ML teams.
  • Agile, collaborative mindset with strong communication skills and ability to work effectively in a remote, cross-functional team.
  • Preferred: experience building or scaling content discovery or recommendation systems, working with social graphs or user-generated content, or prior involvement in consumer products, e-commerce, marketplaces, VR, or online communities.

Benefits

  • 100% remote work with flexible working hours and core hours for collaboration.
  • Health benefits.
  • 401(k) for US employees and Group RRSP for Canadian employees.
  • Stock options.
  • Generous paid holiday schedule.
  • Unlimited/flexible vacation time.
  • Paid parental leave benefits.

Interested in this position?

Apply directly on the company website

Apply Now

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