Improve ingestion pipeline quality, reliability, scalability, and governance
Develop and optimize core data models and foundational data tables
Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting
Implement data governance, data quality, lineage, and observability practices
Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making
Optimize large-scale data processing workflows for performance and cost efficiency
Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics
Contribute to the unification of fragmented data ecosystems across multiple game teams and organizations
Build and maintain reliable orchestration workflows and scheduling systems
Participate in architectural discussions around scalability, governance, and data platform modernization
Strong SQL and Python programming experience
Experience building scalable ETL/ELT pipelines
Experience with AWS data ecosystem and cloud-native architectures
Experience with DBT, Apache Airflow or similar orchestration tools
Strong understanding of data modeling and analytics engineering
Experience working with large-scale structured and semi-structured datasets
Experience implementing data governance and data quality practices
Experience optimizing pipeline performance and scalability
Strong communication and collaboration skills
Ability to work independently within distributed engineering teams
Gaming industry experience
LiveOps or telemetry pipeline experience
Experience supporting analytics for player behavior, engagement, monetization, or publishing systems
Experience with real-time or streaming data systems
Experience with viewer analytics or esports data ecosystems
Experience with KPI reporting and operational dashboards
Familiarity with cost optimization and cloud infrastructure analytics
Experience working in fast-paced product engineering organizations
BS or Master’s degree in Computer Science, related degree, or equivalent experience
5+ years experience with data-related and data management responsibilities
Deep expertise in designing and building data warehouses and big data analytics systems
Practical experience manipulating, analyzing and visualizing data
Self-driven and motivated, with a strong work ethic and a passion for problem solving
Professional English proficiency (B2/C1)
Paid Time Off
Mentored Career Development
U.S. Holidays
USD Remuneration
Profit Sharing
Maternity Coverage
100% Remote