Data Engineer

Position Overview

The Data Engineer is responsible for the comprehensive data and reporting infrastructure s role involves developing and maintaining data solutions, including an enterprise data warehouse, data visualization, and operational reporting. Responsibilities include end‑to‑end solution architecture, database administration, converting customer requirements into BI applications, and providing technical support and training.

• Develop, maintain and monitor data analytic solutions, including the data warehouse, data visualization tools and operational reporting solutions.
• Responsible for end‑to‑end solution architecture and development, from modeling database tables and writing custom ETL code to improving indexing and developing testing modules.
• Work directly with units on campus to understand their data needs and convert complex requirements into sound business intelligence applications within the BI environment. Provide technical support and training to users on data‑related issues.
• Database administration including regular monitoring, server setup, security provisioning and maintaining a secure database environment to support reporting efforts.
• Identify, design and implement internal process improvements to enhance data delivery and automate manual processes. Research and integrate new technologies and software engineering tools to reduce complexity, increase capacity and improve overall efficiency.

• Bachelor’s degree in Information Technology, Computer Science, or a related field; or comparable experience.
• Minimum of 3 years’ experience in data analytics or data solutions.
• Demonstrated experience writing complex SQL queries and designing reporting data sets for business intelligence applications.
• Demonstrated experience managing and working with common databases (SQL Server, Oracle, MySQL, etc.).
• Previous workplace experience utilizing reporting and visualization tools to develop and publish business reports.
• Demonstrated experience with scripting language (Python, R, Power Shell, or others).
• Strong analytical and problem‑solving skills.
• Demonstrated continuous improvement mindset.
• Excellent communication and collaboration skills.

• Experience with Microsoft BI tools.
• Experience with an ETL tool like SSIS, Informatica, Talend, etc.
• Experience with MLOps pipelines (DVC, Airflow, etc.).
• Experience with API data integrations.
• Proficient knowledge of Python and experience building customized data pipelines.

It is the policy of Marquette University to provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other applicable federal or state‑protected classification.