Data Engineer — AI-Ready Data Platform

San Antonio Spurs; San Antonio (TX); On-site; USD 80,000 - 110,000; Full time

Job summary

The San Antonio Spurs are seeking a highly skilled Data Engineer to construct the data platform for Business Intelligence and AI experiences. This role includes designing scalable data pipelines, ensuring data integrity, and integrating diverse data sources.

The ideal candidate will have strong Python capabilities, experience with data modeling, and proficiency in SQL. Additional experience with GitHub and cloud services like Azure is preferred. Join us to leverage data for enhancing operational workflows.

Qualifications

• 1-2 years of experience as a Data Engineer or similar technical role building data pipelines.
• Strong foundation in ETL/ELT pipelines and scalable data architecture.
• Hands-on experience with APIs and relational database systems.

Responsibilities

• Design and build scalable data pipelines.
• Develop production-ready Python scripts and automation workflows.
• Integrate data from various internal and external systems.

Skills

Python

SQL

Data modeling

Data engineering fundamentals

GitHub

Data validation

API integrations

Cloud services (Azure/AWS)

Education

Bachelor's or Master's Degree in Computer Science, Engineering, Data Analytics, or related field

Tools

SQL Server

Azure SQL Managed Instance

Snowflake

Job description

The San Antonio Spurs are seeking a highly skilled Data Engineer to construct the data platform for Business Intelligence and AI experiences. This role includes designing scalable data pipelines, ensuring data integrity, and integrating diverse data sources.

The ideal candidate will have strong Python capabilities, experience with data modeling, and proficiency in SQL. Additional experience with GitHub and cloud services like Azure is preferred. Join us to leverage data for enhancing operational workflows.