LA Kings - Sr. Data Engineer

AEG Worldwide•El Segundo, CA

1d•$111,657 - $135,000•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

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 towards being a technical mentor to junior members of the team
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

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

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