Staff Data Engineer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

Spark
Databricks
Cloud

Job Details

Title- Staff Data Engineer
Location- Los Angeles, CA- Hybrid
Type- W2

Job Description-
As a P4 Staff Data Engineer, you will define and lead data strategy across team and initiative-level scopes, shaping data architectures that empower analysts, data scientists, and game developers to delight players. You will collaborate across disciplines, driving scalable systems and innovative tooling. Your strategic and technical leadership will influence game insights and engineering culture across Riot s product lines.

Responsibilities
Define and lead data engineering cross-team initiatives aligned to Client s business goals.
Architect and implement robust, scalable data systems and reusable data marts to support analytics and predictive modeling.
Own the end-to-end design, implementation, and optimization of data pipelines and telemetry systems.
Drive data modeling using industry best practices (Kimball/Inmon methodologies) to support initiative-level analytics needs.
Partner with analytics, data science, and game development teams to create impactful, model-ready datasets.
Lead technical design discussions, perform tradeoff analyses, and ensure data architectures are resilient, scalable, and cost-efficient.
Champion data quality, governance, and operational excellence; define and uphold SLA/SLOs for data services.
Proactively set up monitoring and alerting systems to ensure data pipeline reliability and observability.

Required Qualifications
7+ years of experience in data engineering or data architecture, with a history of leading complex, high-impact initiatives.
Expertise in Python, SQL, and big data frameworks such as Spark; experience with DBT, Airflow, and Databricks.
Deep knowledge of cloud data infrastructures (e.g., AWS, Google Cloud Platform) and tools (e.g., Redshift and BigQuery).
Mastery of data modeling principles (e.g., dimensional modeling, normalization) and experience designing scalable schemas.
Proven experience leading cross-functional engineering efforts and technical design alignment.
Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders.
Familiarity with dashboarding and visualization platforms (e.g., Looker, Tableau, Power BI).
Experience defining and implementing data governance and documentation practices using modern cataloging tools.
Bachelor s degree in Computer Science or equivalent experience.

Desired Qualifications
Experience designing telemetry systems for game analytics.
Familiarity with JVM-based data processing and event-streaming technologies (Kafka, Flink).
Experience evaluating and implementing data platform tooling across business units.
Contributions to data reliability, testing, and CI/CD practices in data engineering contexts.
Prior experience influencing BU-level data strategies or shaping roadmap alignment.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.