Machine Learning Data Engineer

1 Month ago • All levels • Data Analyst

Job Summary

Job Description

As a Machine Learning Data Engineer at Epic Games, you'll design, build, and maintain data infrastructure ensuring reliability and efficiency for the ML team. Responsibilities include creating and maintaining data pipelines, managing AWS infrastructure, working with engineers and data scientists, designing scalable data services, interacting with product teams to understand data system interactions, implementing automated ETL processes (including data anonymization), managing data labeling tools on AWS, devising database structures for large datasets, using data extraction APIs, writing SQL procedures, and supporting data versioning. You will ensure user privacy and contribute to a world-class data platform supporting Epic's products.
Must have:
  • ETL design & automated data quality testing
  • Python for Web Services (REST, Postman)
  • AWS, Snowflake, or comparable platforms
  • Experience with SQL and data APIs
  • Data warehousing and modeling
  • Database management (Elasticsearch/MongoDB/PostgreSQL)
  • Data versioning tools
  • Apache Airflow for ETL pipelines
Perks:
  • 100% employer-paid benefits (excluding dependent PMI)
  • Pension
  • Private medical insurance
  • Healthcare cash plan
  • Dental insurance
  • Disability and life insurance
  • Critical illness coverage
  • Cycle-to-work scheme
  • Flu shots and health checks
  • Meals
  • Robust mental well-being program

Job Details

WHAT MAKES US EPIC?

At the core of Epic’s success are talented, passionate people. 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

What We Do

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. We operate at a petabyte scale, and support near real-time use cases as well as more traditional batch approaches.

What You'll Do

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.

In this role, you will

  • 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.

What we're looking for

  • Strong analytical background: 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., Rest and Postman).
  • 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.

EPIC JOB + EPIC BENEFITS = EPIC LIFE

We pay 100% for benefits except for PMI (for dependents). 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. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.

ABOUT US

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.

Like what you hear? Come be a part of something Epic!

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 .

Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found .

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