We are looking for a highly motivated Data Engineer to develop and enhance data and analytics infrastructure. The ideal candidate has strong hands-on experience with Databricks, DBT, AWS, scalable ETL pipelines, data governance, and modern analytics engineering practices.
Requirements
- Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS
- 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
Benefits
- Paid Time Off
- Mentored Career Development
- U.S. Holidays
- USD Remuneration
- Profit Sharing
- Maternity Coverage
To apply for this job please visit jobs.workable.com.
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