Overview

Join Spurs Sports & Entertainment (SS&E) as a Data Engineer! In this role, you'll orchestrate data using Python and SQL, designing infrastructure to pull data to/from a SQL Server, Leverage your skills to automate reports using visualization tools like Tableau. Collaborate with various departments to align strategies, support data needs, and contribute to cross-departmental analysis. If this sounds like a fit for you, we want to hear from you!

In every position, each employee is expected to: demonstrate alignment with SS&E’s Core Values and mission, collaborate with internal/external family members and demonstrate ongoing development.

Responsibilities

Data Processing and ETL: Design and implement efficient data processing pipelines.
Data Integration: Enhance data integration from multiple systems, ensuring quality and consistency.
Database Management: Administer databases, including modeling, design, and troubleshooting.
Data Warehousing: Develop and maintain data warehouses, supporting analytics needs.
Data Quality and Governance: Establish and enforce data quality standards and practices.
Collaboration and Support: Work with cross-functional teams, providing support in data-related tasks.
Reporting and Visualization: Structure datasets with precision for visualization in Tableau and other tools, ensuring clarity and accessibility in data presentation.

Qualifications

Bachelor's or Masters degree in Computer Science, Engineering, or related field.
Proven experience as a Data Engineer.
Proficient in Python and SQL.
Experience extracting data from complex APIs.
Proficient in Microsoft Office Excel.
Familiarity with AWS or Azure.
Knowledge of Microsoft Azure Data Factory is a plus.
Experience with Tableau.
Familiarity with advanced visualization frameworks is a plus(React/Vue/D3).
Strong problem-solving and communication skills.
Ability to work at a computer for extended periods.