Job Overview

We’re looking for a Senior/Staff Data Engineer to improve and transform our expanding data capabilities. Reporting to the Head of Data, the Senior/Staff Data Engineer will collaborate closely with Data Science, Product, and Engineering to maintain and optimize our data infrastructure and analytics stack. The ideal candidate will have a background in a technical field, will have expertise working with large production data sets, and will have experience building & maintaining a Data Platform from the ground up. This position will be fully remote.

Duties & Responsibilities

Design and Implement Data Solutions: Lead translation of business requirements and end-to-end designs into technical implementations that align with VRChat's objectives.
Strong Cross-Functional Collaboration: Partner with Data Science, Product, and Engineering teams to build and maintain data products that drive VRChat's innovation.
Data Warehouse Management: Build and maintain both batch and real-time data warehousing solutions using Snowflake on AWS to support VRChat's data needs.
ETL Pipeline Development: Develop complex data pipelines using SQL queries and Python scripts to manage data extraction, transformation, and loading (ETL) processes.
Data Orchestration: Implement and manage data orchestration tools (e.g. Dagster, Apache Airflow) to ensure seamless data workflow automation.
Data Integration: Integrate diverse data sources, including MongoDB and SQL databases (e.g., Postgres, MySQL), facilitating comprehensive data analysis and decision-making processes.
Infrastructure Scalability and Optimization: Identify opportunities to ensure the scalability and performance of data infrastructure to accommodate VRChat's growing data needs.
Data Privacy and Security: Ensure compliance with data privacy regulations and ethical standards in data handling, prioritizing user privacy and data security.

Experience, Skills & Qualifications

Experience: 6+ years in data engineering and data modeling.
Problem-Solving: Strong analytical capabilities and very comfortable working autonomously to resolve problems.
Technical Proficiency: Expert in SQL and Python for data pipeline development.
Data Warehousing: Deep experience with data warehousing concepts and Snowflake.
Database Knowledge: Familiarity with MongoDB and SQL databases (e.g., Postgres, MySQL).
Cloud Services: Extensive experience with AWS or other cloud services.
Data Orchestration: Advanced expertise with tools like Dagster or Apache Airflow.
Communication: Excellent interpersonal and communication skills.
Team Collaboration: Proven ability to work collaboratively in cross-functional teams.

Bonus Points

Industry Experience: Experience in data engineering at a consumer technology, social media, or gaming company.
Passion for Technology: Interest in social technology, gaming, or immersive experiences.
Distributed Computing Engines: Familiarity with engines like Spark, Flink, or Hive.
Streaming Platforms: Experience with Kafka, Kinesis, or other streaming platforms.
VR and Gaming: Understanding of VR, AR, and online communities.
Certifications: Relevant certifications (e.g., SnowPro, AWS Certified Data Analytics) are a plus.
Unity 3D: Basic understanding of Unity 3D development.
Social Platforms: Experience with social platforms, social gaming, or interactive online environments.
Innovative Thinking: Ability to think creatively and solve complex data challenges.
Cloud ETL Tools: Experience with cloud-based ETL tools (e.g., Fivetran,Glue, Hevo).

Senior/Staff Data Engineer

Anywhere in the world

Remote

Senior

VRChat Inc.