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Are you excited about working with massive datasets and building the systems that power data-driven decisions? We’re looking for Data Engineer Interns to join our team and help us shape a modern, scalable data platform that supports our games and the millions of players who enjoy them every day. Data plays a central role in how we understand our players and improve our games. Our data platform is built to ensure data is reliable, accessible, and secure, from ingestion all the way to activation. As an intern, you’ll get hands-on experience across the stack, working alongside experienced engineers and contributing to real systems used across the company. This is a learning-by-doing role where you’ll be trusted with meaningful work while being supported by a team that cares about your growth. This is a paid internship and the length of the internship will be between 6 to 9 months depending on the project you will work on.
Job Responsibility:
Improve the infrastructure that supports data collection, storage, and processing at scale
Help manage and automate access control workflows to keep data secure and accessible to the right people
Contribute to common data tooling that improves productivity and reliability for engineers and analysts
Support the design and maintenance of data models used across the company
Help map, document, and improve data processes so they are easier to understand and operate
Contribute to the evolution of our AI and BI reporting layer and support data democratization efforts across teams
Work across different parts of the data platform, from foundational infrastructure to downstream data use cases
Look for thoughtful ways to improve how we work, including through modern AI-enabled workflows and tools
Requirements:
Current studies in computer science, data engineering, software engineering, information systems, or a related field, or equivalent hands-on experience through projects, hackathons, or open source work
Genuine interest in data and data engineering, shown through coursework, personal projects, internships, or other practical experience
Good SQL and Python skills
Familiarity with at least one modern data platform or data warehousing technology such as Databricks, Snowflake, or BigQuery
Interest in building reliable systems for large-scale data collection and processing
Curiosity about modern AI-enabled workflows and how they can support engineering work
Strong collaboration and communication skills
A proactive mindset and excitement about learning new concepts, tools, and ways of working
Nice to have:
Familiarity with data lakes, ETL or ELT pipelines, or distributed data processing concepts
Exposure to cloud platforms or infrastructure tooling
Interest in data governance, access management, or security-related data workflows
Experience working on shared tooling or internal developer productivity projects
Interest in games and how data can support player experience and product decisions