Senior Data Engineer - AI and Data Science Engineer III

About the role

ConvergeSPORTS is a product-driven business combining Deloitte's sports industry experience with proprietary data, AI-native decision intelligence, and reusable Converge capabilities. Sports organizations generate enormous volumes of fan, ticketing, sponsorship, and commercial data, but it only creates value when it is trusted, connected, and ready to use.

What you'll do

• Design, build, and maintain batch data pipelines using SQL, Python, and PySpark to ingest, transform, and serve fan, sponsorship, ticketing, CRM, and commercial datasets
• Design and develop reusable ETL/ELT frameworks, define design patterns and coding standards, and guide Consultant-level engineers in applying them
• Write, test, and tune SQL and Python code for correctness and performance, with unit tests and clear documentation
• Define and implement data quality checks, validation routines, and lineage documentation that make data assets trustworthy for product use
• Design data models and schemas that support analytics, machine learning, and agentic product features, and review models and schemas developed by others

What you need

• 5–7 yrs of experience
• SQL
• Python
• ETL
• Spark
• Databricks
• Statistics
• B.Sc or B.Tech or B.E. or BCA

Good to have

• AWS
• Airflow
• dbt
• GCP
• Docker
• Azure