Data Engineering Analyst: BI & ETL Innovator

Washington Commanders; College Park (MD); On-site; USD 70,000 - 80,000; Full time

Job summary

The Washington Commanders are seeking an Analyst, Data Engineering to join the business intelligence team in Maryland. The role focuses on refining the data environment, solving problems strategically, and aligning data strategy with organizational goals.

You will help develop and maintain the data warehouse, manage data sources, and build robust reporting capabilities. Strong SQL/Python skills and collaboration with non-technical stakeholders are essential.

Qualifications

• Bachelor’s degree in CS, Engineering, Math, Physics, or related field.
• 2+ years of relevant experience.
• Strong SQL and Python skills.
• Experience with data warehousing and ETL.
• Familiarity with Databricks and medallion pattern is a plus.
• Experience with Tableau or Power BI is a plus.
• Excellent communication with non-technical stakeholders.

Responsibilities

• Understand the technical stack of the Commanders data environment to further develop, maintain, and troubleshoot data flows and models.
• Respond promptly and professionally to ad hoc requests from diverse departments within the organization.
• Design data models and structures to support modeling and reporting processes.
• Develop and maintain ETL processes via API from various sources into our data warehouse.
• Create and maintain documentation where appropriate - in code and about solution architecture.
• Conduct thorough testing and seamless implementation of changes within the data warehouse environment.
• Assist with internal web application development when needed.

Skills

SQL

Python

ETL

Data modeling

Communication

AI concepts

Education

Bachelor's degree in CS/Engineering/Math/Physics

Tools

Databricks

Tableau

Power BI

Linux

Job description

The Washington Commanders are seeking an Analyst, Data Engineering to join the business intelligence team in Maryland. The role focuses on refining the data environment, solving problems strategically, and aligning data strategy with organizational goals.

You will help develop and maintain the data warehouse, manage data sources, and build robust reporting capabilities. Strong SQL/Python skills and collaboration with non-technical stakeholders are essential.