Data Infrastructure Engineer, Epic Online Services

What We Do

Unreal Engine is the world’s most open and advanced real-time 3D tool. Creators across games, film, TV, architecture, automotive, manufacturing, and simulation choose Unreal to deliver cutting-edge content, interactive experiences, and immersive virtual worlds. We are an intentionally small, highly experienced team embedded in Epic Online Services working to democratize data and insights to empower teams across Epic. We are building our data platform from the ground up, bringing a modern data stack to Epic with both cloud-agnostic and cloud-native services.

What You'll Do

The Data Infrastructure team is looking for a Data Infrastructure Engineer to join us and help build out the data platform that will serve Epic. This is an excellent opportunity to make a huge impact on Epic, as data is one of the most critical aspects of our business. If you’re excited about building large-scale data systems and pipelines, this is the role for you!

• Design, build, and maintain scalable and reliable data infrastructure and pipelines that extract, transform, and load data from various sources into our data warehouse.
• Develop and optimize ETL/ELT processes to ensure data quality, integrity, and performance.
• Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions that meet their needs.
• Implement data governance, security, and compliance policies to protect sensitive data.
• Monitor and troubleshoot data pipelines and infrastructure to identify and resolve issues promptly.
• Evaluate and recommend new data technologies and tools to improve our data platform.
• Mentor and guide junior data engineers, fostering a culture of learning and growth.

What We're Looking For

• Significant experience working with data infrastructure and building production-grade data pipelines.
• Proficiency in at least one programming language (e.g., Python, Go, Java, C#, Scala).
• Strong understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
• Experience with big data technologies (e.g., Airflow, Dagster, Spark, Flink, Kafka).
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Kubernetes, Docker).
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Experience with both SQL and NoSQL databases.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.