Data Engineer

Marquette University • Milwaukee, WI, US • 3w ago

Be The Difference Begins with Great People.

Are you looking for a new opportunity where you can make the difference in the lives of students and faculty? We’re always looking for highly talented individuals to join our team – people who think big, care deeply, and believe in being the difference in their work and community.

We prioritize student success, access to education, and service in our work to educate well-rounded servant leaders who transform their fields, our society and the world. Our Catholic, Jesuit approach emphasizes student engagement with the world around them and formation of the heart and mind.

We believe in our mission: The search for truth, the discovery and sharing of knowledge, the fostering of personal and professional excellence, the promotion of a life of faith, and the development of leadership expressed in service to others. These core values guide our relationships with our students, each other, and our community.

Marquette University offers a rich and competitive Total Rewards package including medical, dental, vision, 403(b) with up to 8% university match, generous time off package, and tuition benefits for employees, spouses, and dependents with no payback requirement! For more information, please view theTotal Rewards Guide.

This is your next opportunity to join an organization that invests in their employees’ career journey by diversifying their skills, deepening their expert knowledge, encouraging a healthy work-life balance, focusing on personal wellbeing, providing leadership training, and sustaining a culture of respect and inclusion.

The Data Engineer is responsible for the comprehensive data and reporting infrastructure at Marquette. This 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. The Data Engineer works directly with customers to deliver end-to-end data solutions, provides on-call support, and implements process improvements to enhance data delivery and efficiency

Duties and Responsibilities

1. Develop, maintain and monitor data analytic solutions, including the data warehouse, data visualization tools and operational reporting solutions.

2. 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.

3. 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.

4. Database administration including regular monitoring, server setup, security provisioning and maintaining a secure database environment to support reporting efforts.

5. 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

Required Knowledge, Skills and Abilities

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, PowerShell, or others).

Strong Analytical and problem-solving skills

Demonstrated continuous improvement mindset

Excellent communication and collaboration skills

Preferred Knowledge, Skills and Abilities

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

Department IT Services Posting Date 05/28/2025 Closing Date Special Instructions to Applicants EOE Statement

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.