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.
This is an on-site role based in El Segundo, CA.
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, SKILL AND ABILITY:The Senior Data Engineer must possess the following knowledge, skills and abilities and be able to explain and demonstrate that he or she can perform the essential functions of the job, with or without reasonable accommodation, using some other combination of skill and abilities:
- 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: We offer a comprehensive benefits package that 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.
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