LA Galaxy, Data Engineer - Soccer Operations at Aegworldwide

Company Information For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer. Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations. If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer! Job Summary The LA Galaxy Data Engineer position is responsible for designing, developing, and maintaining robust data pipelines that transform raw information into actionable intelligence for analysts, coaches, scouts, and decision-makers. The Data Engineer will integrate and manage data streams from external providers, ensure high-quality and reliable data flows, and partner closely with the Soccer Operations Data team to support advanced analytics, machine learning, and predictive modeling. This role will also build self-service tools and platforms that empower nontechnical users across player recruitment, performance analysis, tactical evaluation, and opposition scouting. The work produced in this role will directly influence how the club identifies talent, prepares for matches, and competes on the field. Essential Functions Design, implement, and own a real-time pipeline: • Design, implement, and maintain low-latency pipelines that ingest, process, and deliver high-volume event and tracking data in real time. • Own pipeline reliability, monitoring, and performance optimization to ensure uninterrupted data availability for analysts, applications, and models. • Support both live match analysis and post-match workflows with minimal delay. Create self-service tools: • Develop intuitive dashboards, query interfaces, and internal applications that enable nontechnical users to explore and extract insights independently. • Reduce reliance on ad hoc engineering requests by building scalable, well-documented tools that balance flexibility with governance and data integrity. Partner with data scientists: • Partner with data scientists to transition machine learning models from experimentation to production. • Build deployment pipelines, monitoring systems, and retraining workflows to ensure models operate reliably at scale. • Support use cases such as recruitment analysis, player valuation, and contract decision-making. Collaborate with video analysts:  • Collaborate with video analysts to align positional tracking data with match footage for frame-accurate analysis. • Develop workflows and tooling that connect quantitative data with visual context to support tactical reviews, player evaluations, and coaching presentations. • Participate in regular meetings with the Pro Analytics, Soccer Operations, and Performance teams to align on priorities and ensure data solutions meet evolving needs. • Communicate technical concepts clearly to nontechnical stakeholders and contribute to long-term data strategy and standards. Qualifications To perform this job successfully, an individual must satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education • BA/BS Degree (4-year) (Advanced Degree Preferred) Mathematics, Computer Science, Statistics or Analytics Work Experience • 3+ years of experience in data engineering or analytics engineering • 3+ years of experience in building and owning production data pipelines using Python (pandas, PySpark, Databricks). • 3+ years of experience working in a professional sports front office/operations Knowledge, Skills and Abilities • Expert SQL skills, including complex queries, window functions, and performance optimization • Experience with orchestration tools such as Airflow, Prefect, or Dagster) for managing workflows • Proven ability to design systems handling dailyingestion and enforce ACID principles • Experience processing unstructured data ( JSON, Avro) in both batch and streaming environments • Hands-on experience with AWS, Azure, or GCP, including resource management and cost-conscious architecture. • Experience implementing CI/CD pipelines for automated testing and deployment. Strong commitment to code quality, documentation, and reusability. • Familiarity with soccer data specifications from providers such as Hudl, StatsBomb, IMPECT, TRACAB, and SkillCorner. • Understanding of full stack application development workflows, including connecting front end frameworks (React, Vue) to data infrastructure (SQL warehouses, blob storage). • Strong UI/UX sensibility and experience with React preferred. Payscale: $125,000 Bonus: This position is eligible for a bonus under the current bonus plan requirements. Benefits: 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. 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.