Data Engineer

MLS National Sales Center

Major League Soccer is advancing its data platform to offer personalized fan experiences through precise analytics. This role focuses on developing scalable solutions for data management and analytics in a cloud environment, contributing to MLS's innovative data initiatives.

In this role you can expect to have the responsibilities:

• Design and automate scalable data pipelines from API and ingestion to analytics with best practices.
• Develop data-intensive solutions on cloud platforms like AWS using technologies like distributed compute and real-time streaming.
• Collaborate with infrastructure engineering to establish extraction and transformation of data from varied sources.

This role comes with the following benefits:

• Comprehensive medical, dental, and vision coverage.
• $500 wellness reimbursement and generous PTO.
• Hybrid office/remote work schedule.
• Career and professional development opportunities.

This role requires you to have:

• Experience with cloud-native data solutions, especially on AWS.
• Proficiency in programming languages and solid computer science fundamentals.
• Experience with distributed processing systems such as Apache Spark.
• Familiarity with Medallion Lakehouse environments and AWS technologies.
• Expertise in SQL, Python, and pySpark.
• Knowledge of data science and machine learning workflows.

You would benefit from having:

• Experience with lake house architectures and orchestration frameworks like Airflow.
• Knowledge of real-time streaming with Apache Kafka and container technologies.

Major League Soccer is committed to diversity and provides equal employment opportunities. They offer reasonable accommodations throughout the application process for individuals with disabilities.