Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. DATA ENGINEERING Our mission is to provide a world-class platform that empowers the business to leverage data that will enhance, monitor, and support our products. We are responsible for data ingestion systems, processing pipelines, and various data stores all operating in the cloud. You will be responsible for designing, building, and maintaining our data infrastructure to ensure the reliability and efficiency of our data and systems used by our Machine Learning team. Your role will include creating and maintaining data pipelines that transform and load data from various products and managing the AWS infrastructure for our machine learning platform. Additionally, you will work with engineers, product managers, and data scientists to design and implement robust and scalable data services that support Epic's mission while ensuring our user’s privacy. Interact with product teams to understand how our safety systems interact with their data systems. Design and implement an automated end-to-end ETL process, including data anonymization, to prepare data for machine learning and ad hoc analysis. Manage and scale the tools and technologies we use to label data running on AWS. Devise database structure and technology for storing and efficiently accessing large data sets (millions of records) of different types (text, images, videos, etc.). Use and implement data extraction APIs. Write and invoke custom SQL procedures. Support data versioning strategies using automated tools. BSc or MSc in Computer Science/Software Engineering or related subject - candidates without a degree are welcome as long as they have extensive hands-on experience. Experience in ETL technical design, automated data quality testing, QA and documentation, data warehousing, and data modeling. Experience with Python for interaction with Web Services (e.G., Experience with using and developing data APIs. Experience using AWS, Snowflake, or other comparable large-scale analytics platforms. Experience monitoring and managing databases (we use Elasticsearch / MongoDB / PostgreSQL). Experience with SQL. Experience with data versioning tools. Experience developing and maintaining data infrastructure for ETL pipelines, such as Apache Airflow. Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here. #
