Associate Data Platform Engineer

MSG Entertainment Holdings, LLC; New York (NY); On-site; USD 83,000 - 130,000; Full time

Job summary

Madison Square Garden Entertainment Corp. in New York is seeking an Associate Data Platform Engineer to support, enhance, and maintain MSG’s advanced data platforms used for analytics and business applications. You will work across MSG’s teams and venues to enable actionable insights that drive performance.

You will build ETL pipelines, implement data quality checks, and develop workflows using Airflow. The role emphasizes collaboration with data engineers, BI developers, and stakeholders to

Qualifications

• 2+ years in data engineering or analytics roles.
• 1+ years building ETL/ELT pipelines, SQL, dbt preferred, Big Data & NoSQL knowledge.
• 1+ years with Python for data processing.
• Familiar with cloud-based data environments (AWS/Azure/GCP).
• Strong problem-solving and data accuracy focus.
• Enthusiasm for learning new technologies.

Responsibilities

• Support, maintain, and optimize data architecture for analytics and reporting using Python, SQL, Redshift, and Athena.
• Partner with stakeholders and BI developers to analyze questions and deliver data-driven answers.
• Develop and maintain enhancements to the enterprise data warehouse, ensuring new data sources are integrated at scale.
• Build, maintain, and extend ETL processes for dimensional models with modular SQL and testing.
• Implement data quality checks and validation throughout the pipeline lifecycle.
• Develop and schedule workflows using Apache Airflow with dependency management and monitoring.
• Triage, troubleshoot, and resolve issues across data solutions with cross-functional partners.
• Document data flows, models, and processes; participate in code reviews and knowledge sharing.
• Provide exceptional experiences for guests and team members, adhering to appearance/presentation guidelines on-site.

Skills

Python

SQL

ETL pipelines

dbt

Big Data

NoSQL

Cloud basics

Data quality

Troubleshooting

Education

Bachelor's degree in Computer Science, Information Systems, Engineering

Tools

Apache Airflow

AWS

Job description

Madison Square Garden Entertainment Corp. (MSG Entertainment) is a leader in live entertainment, delivering unforgettable experiences while forging deep connections with diverse and passionate audiences. The Company’s portfolio includes a collection of world-renowned venues – New York’s Madison Square Garden, Infosys Theater at Madison Square Garden, Radio City Music Hall, and Beacon Theatre; and The Chicago Theatre – that showcase a broad array of sporting events, concerts, family shows, and special events for millions of guests annually. In addition, the Company features the original production, the Christmas Spectacular Starring the Radio City Rockettes, which has been a holiday tradition for more than 90 years. More information is available at www.msgentertainment.com.

Who are we hiring?

The Associate Data Platform Engineer will be responsible for supporting, enhancing, and maintaining Madison Square Garden Company’s advanced data platforms used for both analytics and for the integration of business and customer-facing applications. The Associate Data Platform Engineer will have the opportunity to work with data that spans all of MSG’s business units and includes metrics for the Knicks, Rangers, Rockettes, and concerts held in The Madison Square Garden Company’s iconic venues. The Associate Data Platform Engineer will work closely with both Data Platform Engineers and Sr Data Platform Engineers supporting the development of solutions that establish MSG as a leader in the use of data to drive outstanding business performance by making actionable insights available when and where they add the most value

What will you do?

• 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.

What do you need to succeed?

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

#LI-Onsite

Pay Range

$83,000—$130,000 USD

At MSG, we recognize the importance of upskilling employees’ talents and strengths so they can drive their careers forward. We are proud to offer a robust set of 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. Growth and longevity for our employees are top priorities here.

We value diversity and are looking for extraordinary employees of all backgrounds! MSG is an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, sexual and reproductive health choices, national origin, citizenship, age, genetic information, disability, or veteran status. MSG complies with all applicable federal, state, and local laws governing nondiscrimination, including consideringrequests for reasonable accommodations as required.