LA Kings - Sr. Data Engineer

Senior Data Engineer Play a pivotal role in optimizing and architecting our data warehouse across various sources. Design and optimize data models, storage structures, and compute workflows, ensuring reliability, governance, and long‑term maintainability. Develop robust ELT pipelines, establish engineering best practices, and partner closely with cross‑functional teams to deliver a unified, trusted data ecosystem that powers advanced analytics, reporting, and machine learning initiatives. Location: El Segundo, CA (on-site). Essential Functions Develop scalable data pipelines to support both batch processing and real‑time streaming workloads. Lead end‑to‑end data architecture decisions and development to ensure scalability, reliability, and long‑term platform evolution. Work across platforms to integrate data from Databricks, CRM systems, and external systems into a unified, reliable ecosystem. Establish best‑practice warehouse architecture that ensures consistency, governance, and high‑quality data across the platform. Drive automation initiatives to reduce manual workflows and improve pipeline reliability. Ensure platform observability through monitoring, alerting, logging, and cost‑optimization strategies. Mentor junior engineers through code reviews, technical guidance, and support in developing strong engineering practices. Collaborate with cross‑functional partners (Analytics, Ticketing, Marketing) to translate business needs into scalable data solutions. Continuously improve knowledge and abilities in the areas of software engineering, statistical learning, and machine learning. Specific Job Knowledge, Skills and Ability Strong communication skills, written and verbal. Strong work ethic and passion for technology. Understanding of business needs and ability to translate into engineering solutions. Collaborative skills, with an eye toward being a technical mentor to junior members of the team. Familiarity with hockey is a plus. Qualification Standards Education: BA/BS Degree (4‑year) in Computer Science, Data Science, or similar field. Advanced Degree Preferred. Experience: 4‑6 years related work experience; expert knowledge of SQL, Python, and Spark; demonstrable experience designing database structures and architecting scalable solutions; experience with Databricks and Infrastructure as code; experience with code collaboration software (e.g., git). Preferred: MA/MS Degree in Data Science, Data Engineering, or equivalent. Payscale: $111,657 - $135,000 Bonus: This position is eligible for a bonus under the current bonus plan requirements. Benefits (Full-time): Comprehensive benefits package including medical, dental and vision insurance, paid holidays, vacation and sick time, company‑paid basic life insurance, voluntary life insurance, parental leave, 401(k) plan with current employer match of 3%, flexible spending and health savings account options, and wellness offerings. AEG reserves the right to change or modify the employee’s job description. We comply with all applicable federal, state and local employment laws and are an equal opportunity employer. We do not offer work visa sponsorship for this position. #J-18808-Ljbffr Aeg Worldwide Inc