Data Engineer II, Mobile Game Analytics job opportunity at Mattel, Inc.

Home Jobs In United States Tag: Mobile Game Analytics Data Engineer II, Mobile Game Analytics position at Mattel, Inc


Date2026-05-05T19:52:18.931Z bot
Mattel, Inc Data Engineer II, Mobile Game Analytics
Experience: General
Pattern: Full-time
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Mobile Game Analytics

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degreeHigh School (S.S.C.E)
loacation 333 Continental Blvd, El Segundo, CALIFORNIA, United States
loacation 333 Continenta..........United States
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Job DescriptionThe Opportunity: We’re hiring a Data Engineer II to own the analytics backbone for our growing mobile free-to-play portfolio. You’ll design and operate the pipelines, data models, and quality systems that turn raw telemetry into trustworthy, analyst-ready datasets — so studio teams can make sharper decisions about retention, monetization, and engagement across titles. This is a build-while-running role: you’ll keep existing pipelines healthy, migrate legacy infrastructure onto our partner-managed ETL platform, and stand up new capabilities alongside it. What Your Impact Will Be:  Run & Optimize – Live Data ETL Framework Configure and operate the partner-managed ETL framework for mobile game telemetry ingestion and transformation Maintain silver/gold transformation layers in BigQuery using SQL and orchestration tooling, applying schemas optimized for analytical queries Optimize BigQuery performance and cost through partitioning, clustering, materialized views, and query tuning Design curated data marts as data products — with clear owners, documentation, and SLAs — that power Mixpanel dashboards and enable analysts to self-serve on retention, monetization, and engagement metrics Migrate & Extend Migrate legacy Airflow pipelines to the partner platform for existing and licensed titles without disrupting live reporting Partner with game studios and Data Analysts on tracking plans — defining events, properties, validation rules, and data contracts that keep downstream consumers insulated from upstream change Build data quality and observability systems that reduce time-to-detect and time-to-recover for telemetry issues before they reach reporting Contribute to team engineering practices — code review, documentation standards, onboarding — and pragmatically apply AI and LLM tooling to accelerate SQL authoring, validation, and documentation 

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