Data Engineer

Data Engineer at Right Balance ®

Our client, a globally recognized leader in interactive entertainment, operates some of the most played games in the world with hundreds of millions of players across multiple titles. The Data Foundations team, where this Data Engineer role sits, is at the intersection of platform engineering and player experience. This team builds the data infrastructure that powers insights, ML/GenAI pipelines, and product decisions at a massive scale. With a distributed team, a strong engineering culture, and a deep investment in cutting-edge tooling, this is a unique opportunity to tackle data challenges that directly shape how players experience some of the industry's most beloved games.

What You’ll Do:

• Design, build, and optimize scalable pipelines for data supporting insight into the Data Foundation ecosystem.
• Design and implement data models using industry best practices that capture a complete ecosystem view of internal customer experiences, while ensuring accuracy, scalability, and long-term usability.
• Architect and implement robust, maintainable, and high-performance data solutions.
• Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for content, growth, and pubsports areas of coverage.
• Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
• Evaluate and adopt new tools, frameworks, and methodologies to advance data engineering capabilities.
• Support cost optimization by ensuring scalable and efficient data solutions.
• Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA).
• Contribute to the Data Engineering discipline shaping infrastructure, craft standards, tooling, and organizational best practices.

What’s in it for you?

• Learn and evolve your skills using the latest and greatest technology tools in a rapidly growing company.
• Learn from the best people around you. We constantly challenge the status quo and invent new ways of building a great product.
• 100% remote. Work anywhere, whether it is remotely in the comfort of your home, in a shared co-working space, in an RV on the beach, or while being a nomad in another country.
• Work on challenging problems, innovate, and positively impact many people's lives while having fun doing it.

Required Qualifications

• Upper-intermediate to fluent speaking and writing English. Able to have a real-time conversation.
• 5+ years of full-time hands-on Data Engineer experience.
• 5+ years of full-time hands-on Python experience.
• 3+ years of full-time hands-on Spark experience.
• 3+ years of full-time hands-on SQL experience.
• 4+ years of full-time hands-on Airflow experience.
• 3+ years of full-time hands-on DBT experience.
• 3+ years of full-time hands-on AWS experience.
• 3+ years of full-time hands-on Databricks experience.
• Strong expertise in big-data technologies including Spark, Scala, Airflow, and dbt.
• Proficiency designing efficient and scalable data models across large, multi-team data sets.
• Demonstrated ability to work cross-functionally with engineering, analytics, and product teams.
• Proven experience mentoring and guiding other engineers.

Nice to Haves

• GoLang experience.
• Experience with ML Operations and GenAI pipelines and infrastructure.
• Experience with GoLang in a data engineering context.
• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.

Key skills/competency

• Data Engineering
• Python
• Spark
• SQL
• Airflow
• DBT
• AWS
• Databricks
• Data Modeling
• Big Data