Senior Data Engineer

At our client, their Data Engineers blend deep technical skill with a passion for player-centric insights. As part of the Product Insights Data Team, they enable impactful, data-driven decisions across our games by designing resilient data platforms, ensuring high data quality, and delivering at scale.

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 client’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, GCP) 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.

It’s our policy to provide equal employment opportunity for all applicants and employees of Bee Talent Solutions. The Company makes reasonable accommodations for handicapped and disabled employees and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including, but not limited to, the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

Safeguarding confidential and sensitive data while employed by us and while on assignment at a customer of ours

Communication with others, including employees and third parties such as vendors, customers (including their employees), and/or players, including minors

Accessing our or our customer’s assets, secure digital systems, and networks

Ensuring a safe interactive environment for players, employees, and temporary workers

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization and within the organization of any customer to whom you may be assigned while employed by us. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.