Associate Data Platform Engineer

Responsibilities

• Support, maintain, and optimize components of the Madison Square Garden enterprise data architecture that power analytics and production reporting across the business, working hands-on with Python, SQL, Amazon Redshift, and Amazon Athena
• Partner with business stakeholders and Business Intelligence developers to analyze complex business questions and deliver clear, data-driven answers
• Develop and maintain enhancements to the enterprise data warehouse, ensuring new data sources and business requirements are integrated reliably and at scale
• Build, maintain, and extend ETL transformation processes that populate dimensional data models, applying version control, modular SQL design, and testing practices to keep the analytics layer maintainable, well documented, and trusted for reporting across the organization
• Implement data quality checks and validation logic throughout the pipeline lifecycle, proactively identifying anomalies, reconciliation gaps, and upstream source issues before they reach business users
• Develop and schedule workflows using modern orchestration tooling such as Apache Airflow, with attention to dependency management, retry logic, and monitoring
• Triage, troubleshoot, and resolve issues across data solutions, working with technical and business partners to identify root causes and implement durable fixes
• Document data flows, models, and processes, and collaborate closely with teammates through code review and knowledge sharing to strengthen the platform and the team
• Provide exceptional experiences for our guests, partners, and team members, including by adhering to our appearance and presentation guidelines while on-site

Preferred

• dbt preferred
• Familiarity with ETL tooling and modern IDEs or development environments is a plus

Benefits

• Tools and resources to help employees understand their interests and purpose, harness their talents, and obtain the skills they need to reach the next step in their careers.
• Glassdoor
• 3.6
• MSG Entertainment is a world leader in live entertainment, comprised of world-renowned venues and marquee brands.
• New York, New York, USA
• https://www.msgentertainment.com/
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Engineering and Development
• Management and Executive
• Human Resources
• Accounting and Finance
• Trends of Total Sponsorships
• *2026
• (8)
• 2025
• (3)
• 2024
• (2)
• 2023
• (9)
• Public Company
• Total Funding
• $620.12M
• 2023-12-05
• Post Ipo Debt· $225M
• 2023-09-18
• Post Ipo Secondary· $232.38M
• 2023-06-20

Qualifications

• 2+ years of related experience in data engineering, analytics engineering, or a comparable technical role
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or an equivalent combination of education and experience
• 1+ years of hands-on experience building ETL/ELT pipelines
• developing SQL, with working knowledge of Big Data solutions and NoSQL databases
• 1+ years of experience with, or a solid conceptual understanding of, Python and its application to data processing and analysis
• Conceptual understanding of cloud-based data environments such as AWS, Azure, or GCP
• Strong problem-solving and analytical skills, with attention to detail and a focus on data accuracy
• High level of enthusiasm for learning new technologies and building innovative data solutions
• Developing SQL, with working knowledge of Big Data solutions and NoSQL databases
• Dbt preferred
• Familiarity with ETL tooling and modern IDEs or development environments is a plus

Required skills

• AWS, Azure, Big Data, ETL/ELT Pipelines, GCP, NoSQL, Python, SQL, dbt

Preferred skills

• dbt preferred

Experience

• 2+ years