Analyst, Data Engineering

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

Position Overview: This position will be an integral part of the Washington Commanders business intelligence team. The Analyst, Data Engineering will help refine the data environment to meet business needs, strategically solve problems, and achieve overall organizational objectives.

The Analyst will work alongside members of the Business Intelligence department to help develop and maintain our business data warehouse. This includes managing connections to existing data sources, integrating new data sources, modeling current and historic data, developing logic to ensure clean data, as well as working to build out our reporting capabilities.

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.

Qualifications:

• Bachelor’s degree in computer science, Engineering, Math, Physics, or related field
• 2+ years experience in a related field
• Problem-solving capabilities to discover, address and resolve issues
• Exceptional communication skills with non-technical parties
• Strong understanding of SQL and Python
• Strong understanding of pros and cons of agentic coding tools and general AI capabilities
• Understanding of end-to-end software development and data pipeline best practices.
• Experience with Databricks and medallion process is a big plus
• Experience with data visualization tools such as Tableau or Power BI is a plus.
• Familiarity with Linux based servers is a plus

Salary Range: $70,000-$80,000

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.