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Top Esports Data Engineering Jobs
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead and mentor a data engineering team building scalable customer-focused data solutions. Hands-on technical ownership, architecture guidance, and delivery of data ingestion, transformation, and reporting. Advance AI-enabled development practices, set technical standards, and foster a collaborative, accountable engineering culture to improve speed, quality, and reliability.
Top Skills:
Agentic Coding WorkflowsAirflowBigQueryCustomer Data Platform (Customer 360)DatabricksDatadogKafkaPythonSnowflakeSQLTerraform
News + Entertainment • Esports
Design and optimize the enterprise data warehouse and ELT pipelines (batch and real‑time). Integrate Databricks, CRM, and external systems into a governed, observable data platform. Drive automation, cost optimization, and monitoring; mentor junior engineers; and partner with Analytics, Ticketing, and Marketing to deliver scalable data solutions that support reporting and ML initiatives.
Top Skills:
DatabricksGitInfrastructure As CodePythonSparkSQL
Gaming • Sports • Esports
Design, build, and maintain scalable data infrastructure and pipelines for large, varied basketball and performance datasets. Lead technology decisions, implement medallion architectures and data validation, optimize storage and ingestion, and collaborate with cross-functional stakeholders to deliver analytics and application-ready data.
Top Skills:
AWSDbtDjangoDockerGCPGenerative AiIaasAzureNext.JsOlap DatabasesOltp DatabasesPaasPrefectPythonRuby on RailsSQL
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