Riotgames Data Engineering Intern at Riotgames works with data engineers and other teams to build and improve data products, focusing on data pipelines, modeling, and quality. The internship provides exposure to cloud and distributed data systems.
Responsibilities
Collaborate with data engineers, software engineers, data scientists, analysts, and game teams on data-focused projects
Transform raw data into clean, documented datasets
Implement small data pipeline, data modeling, or data-quality tasks
Support design of relational data models and data products
Help validate data for accuracy, timeliness, completeness, and sustainability
Participate in code reviews, technical discussions, team rituals, and project planning
Document technical proposals, implementation details, and data definitions
Learn how cloud, distributed-processing, and data-pipelining systems support Riot’s games and products
Qualification
Graduating in the 2028 calendar yearMinimum GPA of 2Experience developing a data pipelineFamiliarity with cloud-computing basicsUnderstanding of distributed systemsExperience with Scala
Required
Graduating in the 2028 calendar year.
Currently enrolled in a Computer Science, Engineering, Data Science, or related technical degree program.
Available to work full-time hours for the 12-week internship duration.
Comfortable programming in Python or Java.
Understanding of data structures and algorithms.
Familiarity with SQL and relational data concepts such as tables, keys, normalization, or indexing.
Minimum GPA of 2.5.
Preferred
Currently enrolled in a graduate-level (Master’s or PhD) Computer Science, Engineering, Data Science, or related technical degree program.
Experience developing a data pipeline, data model, database project, or data-driven application through coursework, internships, research, or personal projects.
Familiarity with cloud-computing basics, such as AWS or GCP.
Experience working with Linux operating systems.
Understanding of distributed systems, concurrent programming, or distributed data processing.
Familiarity with tools or frameworks such as Databricks, Spark, Flink, Hive, Kafka, Airflow, Luigi, Docker, Terraform, Kubernetes, Parquet, or Avro.
Experience with Scala, C++, Golang, or another programming language.
Familiarity with software development practices such as Git, unit testing, functional testing, or continuous integration and deployment.
