Job Description

We are seeking a Student Data Engineer (SDE) to join a team of students creating a Roblox game as a data collection tool, gauging students’ interest in STEM and health care careers. The Lucy Family Institute for Data & Society (LFIDS) leverages data science, AI & ML toward social good. LFIDS engages with the Notre Dame community & beyond through funded research projects & collaborations, educational workshops, and special events. SDEs serve an important role as technical contributors to data-centric projects engaging with Lucy faculty and staff, the broader Notre Dame research community, and regional partners within Indiana. In turn, in addition to the #GOALS project with the Roblox game development, other projects may be assigned as needed.

Key Responsibilities:

Within assigned projects, this role requires completion of data processing and programming tasks related to:

• Data collection, management, harvesting, processing, transformation, and visualization;
• Prototype data processing solutions;
• Experience with a variety of technology environments, ranging from databases to stats to cloud computing platforms.

The successful candidate will be a team player who collaborates effectively with fellow developers, faculty, university researchers, students, and business partners. Other responsibilities may include data analysis and giving presentations to diverse audiences.

Additional Requirements

In addition to regular shift duties based on available capacity, Student Data Engineers may be assigned to complete tasks associated with LFIDS projects as requested. For example, our Scholarly Impact, Data Michiana, and SocioEconomic Indicators dashboard leads may assign students to upload data or develop application features, or SDEs may be asked to try a new software interface and document its basic functions or user experience.

Additional Opportunities

Student data engineers with the requisite skill sets (or who express an interest in gaining requisite skills, e.g., R, Python, Shiny, GIS, GitHub, podcasting, and video editing) will have opportunities to assist a variety of LFIDS faculty/staff with data analysis, software development & communications, as well as investigations of emerging technologies, resources, and creative projects. Student data engineers who contribute to work that is later published or presented will be acknowledged appropriately.

The Institute is committed to ensuring that our student data engineers find their time on our team to be advantageous to their professional development, and we are happy to consider SDEs' proposals for projects that overlap with LFIDS priorities and their research/professional development interests.

**Core Qualities & Expectations **

• Service Orientation: Values inclusivity, courtesy, patience, resourcefulness, and problem-solving
• Confidentiality: Maintaining confidentiality is required.
• Reliability & dependability are key, especially as SSEs may be responsible for maintaining Institute spaces during times when full-time team members are unavailable (e.g., due to meetings).
• Adaptability: We welcome a mindset that is open to learning new systems and adapting quickly. Perfection is not expected—it’s okay to take time to learn. What matters is trying your best in each unique circumstance. We’re committed to supporting your growth and confidence in the role.
• Organizational proficiency: Includes the ability to manage time effectively based on clearly communicated priorities. We aim to provide a structure that supports your success.
• Attention to detail or the ability to follow a set of instructions that we’ll co-create and adjust based on your preferred learning and working style.
• **Independence & Teamwork: **Most tasks are completed independently, though there are occasional team-based efforts where we divide and conquer.

Qualifications

We are currently seeking Saint Mary’s students with a strong (preferably demonstrated) interest in the following:

• Data science methods and tools,
• Software design
• User experience principles

Experience in an LFIDS area of expertise, like:

• R and/or Python
• Events and communications support
• Familiarity with data science, software applications, and/or multimedia content creation and/or editing (e.g., video, PowerPoint slides, podcasts, websites).

Additional Information

Compensation: $17.00/hour

Applications for this position will close on February 13, 2026.

The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.