ABOUT US

At Xsolla, we believe that great games begin as ideas, driven by the curiosity, dedication, and grit of creators around the world. Our mission is to empower these visionaries by providing the support and resources they need to bring their games to life. We are committed to leveling the playing field, ensuring that every creator has the opportunity to share their passion with the world.
Headquartered in Los Angeles, with offices in Berlin, Seoul, and beyond, we partner with industry leaders like Valve, Twitch, and Ubisoft to clear the paths for innovation in gaming. Our global reach spans over 200 geographies, offering more than 700 payment methods in 130+ currencies.

ABOUT YOU

We are seeking a Data Engineer that is a builder and problem solver at heart with a deep understanding of data infrastructure and a collaborative mindset. You partner closely with data scientists to design, develop, and maintain scalable data pipelines that power advanced analytics and machine learning models. You have a command of data architecture, ETL processes, and cloud platforms. You are equally comfortable diving into technical challenges of how this data gets used and are able to advise the modelers on how best to use the data available in the organization.

REQUIREMENTS

• 5+ years of experience in data engineering or related fields, with a strong focus on building scalable data pipelines to support machine learning workflows
• Proven expertise in designing, implementing, and maintaining large-scale, high-performance data architectures and ETL processes managing 1TB a day.
• Strong knowledge of database management systems (SQL and NoSQL), distributed data processing (e.g., Hadoop, Spark), and cloud platforms (AWS, GCP, Azure).
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or other relevant fields.

RESPONSIBILITIES

• Supports various Machine learning projects and their data needs.
• Follow Kanban process of product maintenance
• Participates in technical discussions both within company and outside data partners
• Actively contributes to the design of machine learning solutions by having a deep understanding of how the data is used and how new sources of data can be introduced
• Implements emerging technologies and methodologies in data engineering and machine learning
• Develops and maintains scalable data pipelines to support machine learning models and analytics
• Collaborates with data scientists to ensure efficient data processing and model deployment
• Ensures data quality, integrity, and security across all stages of the data pipeline
• Implements monitoring and alerting systems to detect anomalies in data processing and model performance

RELEVANCE TO JOB RESPONSIBILITIES:

The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements