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Data Engineer II, Mobile Game Analytics

Mattel, Inc.and Subsidiaries · El Segundo, CA, USA ·

Job type:
Full Time

Data Engineer II, Mobile Game Analytics
Posted by Mattel Sales Corp., El Segundo, California. Requisition Number R237488.

Opportunity
We are hiring a Data Engineer II to own the analytics backbone for our growing mobile free‑to‑play portfolio. You’ll design and operate 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.

Responsibilities

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 to power Mixpanel dashboards and enable analysts to self‑serve on retention, monetization, and engagement metrics.

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.

Qualifications

4+ years as a Data Engineer or Analytics Engineer shipping production data pipelines.

Expert SQL and strong Python, with hands‑on experience in BigQuery and Airflow / Cloud Composer.

Demonstrated expertise in medallion architecture, dimensional modeling, and data warehouse optimization.

Mobile F2P analytics experience—fluency with event telemetry, player lifecycle metrics (retention, LTV, ARPDAU), and game economy KPIs.

Hands‑on working knowledge of GCP‑native tooling.

Track record of building data quality and observability systems: validation, anomaly detection, SLAs, and operational hygiene.

Solid production engineering practices—version control, code review, CI/CD, and environment management for data pipelines.

Comfort operating within a partner‑managed ETL framework and coordinating across studio, analytics, and infrastructure teams.

Strong collaboration and communication skills; high‑ownership working style with comfort in ambiguous problem spaces.

Working knowledge of privacy and compliance fundamentals.

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.

Nice to Have

Experience with dbt for transformation orchestration.

Familiarity with mobile attribution SDKs (Adjust, AppsFlyer, Kochava) and attribution modeling.

Familiarity with mobile game revenue data— in‑app purchases and ad monetization.

Experience with data observability platforms.

Fluency with Mixpanel as a downstream consumer of the data you build; exposure to Tableau or Looker.

Equal Opportunity Statement
Mattel is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, gender, gender identity or expression, sexual orientation, veteran and protected veteran status, disability status, or any other basis protected by applicable federal, state or local law. Pursuant to the Los Angeles Fair Chance Ordinance and the California Fair Chance Act, qualified applicants with arrest or conviction records will be considered for employment.

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