LA Kings - Sr. Data Engineer

AEG Worldwide • El Segundo, CA

1d • Onsite

About The Position

The Senior Data Engineer will play a pivotal role in optimizing and architecting our data warehouse across various sources. This role will design and optimize data models, storage structures, and compute workflows, ensuring reliability, governance, and long‑term maintainability. The engineer will 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. This is an on-site role based in El Segundo, CA.

Requirements

• BA/BS Degree (4-year) (Advanced Degree Preferred) Computer Science, Data Science, or similar field
• 4-6 years related work experience
• Expert knowledge of SQL, Python, and Spark
• Demonstrable experience designing database structures and architecting scalable solutions
• Demonstrable experience with Databricks and Infrastructure as code
• Demonstrable experience with code collaboration software, e.g. git

Nice To Haves

• MA/MS Degree in Data Science, Data Engineering, or equivalent degree
• Familiarity with hockey is a plus

Responsibilities

• 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

Benefits

• medical, dental and vision insurance
• paid holidays
• vacation and sick time
• company paid basic life insurance
• voluntary life insurance
• parental leave
• 401k Plan (with a current employer match of 3%)
• flexible spending and health savings account options
• wellness offerings

What This Job Offers

• Job Type: Full-time
• Career Level: Senior