Data Engineer

1 Month ago • 5 Years + • Data Analyst

Job Summary

Job Description

Xsolla seeks a Data Engineer to build and maintain scalable data pipelines supporting machine learning models and analytics. The role involves collaborating with data scientists, designing data architectures and ETL processes, implementing new technologies, ensuring data quality and security, and implementing monitoring systems. Responsibilities include supporting various machine learning projects, following Kanban processes, participating in technical discussions, contributing to machine learning solution design, and developing scalable data pipelines. A strong understanding of data infrastructure, cloud platforms (AWS, GCP, Azure), SQL and NoSQL databases, and distributed data processing is essential. The ideal candidate will have 5+ years of experience managing 1TB of data per day.
Must have:
  • 5+ years data engineering experience
  • Scalable data pipeline development
  • Expertise in data architecture & ETL
  • SQL & NoSQL database knowledge
  • Cloud platform experience (AWS, GCP, Azure)
  • 1TB+ daily data management
Perks:
  • 100% company-paid medical, dental, and vision
  • Unlimited Flexible Time Off
  • Personalized career roadmap
  • Professional development opportunities

Job Details

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.

Longevity Opportunity Vision Enjoy the game!

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. 

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

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.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Criminal History Consideration:
For the Data Engineer, we will conduct a background check that may include the following:

Criminal history check
Employment verification
Education verification

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

Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

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