Data Engineer

Senior Data Engineer Location: El Segundo, CA (on-site) Job Description 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. 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. Job Knowledge, Skill 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 towards being a technical mentor to junior members of the team. Familiarity with hockey is a plus. Qualification Standards Education: BA/BS Degree (4‑year). Advanced Degree Preferred. Computer Science, Data Science, or similar field. Experience: 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. Preferred Qualifications: MA/MS Degree in Data Science, Data Engineering, or equivalent degree. Payscale $111,657 - $135,000 Bonus This position is eligible for a bonus under the current bonus plan requirements. Benefits Full-time benefits package includes 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, and wellness offerings. AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description. AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law. Employer does not offer work visa sponsorship for this position. #J-18808-Ljbffr