Student Worker – Data Pipeline Operations

Novonesis; Franklinton (LA); Hybrid; USD 26,000 - 37,000; Part time

Job summary

Novonesis is seeking a student worker to support the R2K Data Pipeline. You’ll operate and troubleshoot a production data system, gaining hands-on Python and data-driven operations experience while helping teams access reliable data for industrial fermentation insights.

The role emphasizes learning, collaboration with internal stakeholders, and contributing to data quality by inspecting, validating, and transforming datasets using Python and pandas.

Qualifications

• Currently enrolled in a university program in Computer Science, Engineering, Data Science, or a related field.
• Experience using Python, particularly the pandas library.
• Strong analytical and problem-solving skills.
• Clear communication and customer-service mindset.
• Detail-oriented, dependable, and able to work independently.

Responsibilities

• Monitor and operate the data pipeline to ensure data is processed accurately and reliably.
• Investigate and resolve data processing issues and file-related errors.
• Respond to and resolve user support tickets in a timely and professional manner.
• Communicate with internal stakeholders and provide clear updates on issues and resolutions.
• Use Python and pandas to inspect, validate, and transform data.
• Support routine maintenance and continuous improvement of the pipeline.

Skills

Python

Data analysis

Problem solving

Customer service mindset

Independent work

Communication

Education

University student in CS/Engineering/Data Science

Tools

Pandas

Job description

Interested in a career that matters?

Interested in a career that matters?

Are you a university student interested in applying your technical skills to real-world data operations?

As a Student Worker supporting our R2K Data Pipeline, you’ll gain hands‑on experience with a production data system that processes files shared by customers and makes that information available to internal teams. Your work will help ensure our teams have reliable data to better understand industrial fermentation processes and provide effective technical support to our customers.

The Role & Your Impact

In this role, you’ll help operate, troubleshoot, and continuously improve the R2K Data Pipeline. You’ll work with data, technology, and internal stakeholders while building practical experience in Python and data‑driven operations.

Your responsibilities will include:

• Monitor and operate the data pipeline to help ensure customer data is processed accurately and reliably.
• Investigate and resolve data processing issues and file‑related errors.
• Respond to and resolve user support tickets in a timely and professional manner.
• Communicate with internal stakeholders and provide clear updates on issues and resolutions.
• Use Python and pandas to inspect, validate, and transform data.
• Support routine maintenance and continuous improvement of the pipeline.

What You’ll Need to Be Successful

We’re looking for someone who:

• Is currently enrolled in a university program in Computer Science, Engineering, Data Science, or a related field.
• Has experience using Python, particularly the pandas library.
• Has strong analytical and problem‑solving skills.
• Communicates clearly and brings a customer‑service mindset.
• Is detail‑oriented, dependable, and comfortable working independently.
• Can commute to Franklinton, North Carolina, as needed during onboarding and initial training.

Additional Skills & Interests We Value

It would be an advantage if you have:

• An interest in industrial processes, fermentation, or data‑driven operations.
• An interest in gaining hands‑on experience with production data systems.
• Curiosity and an interest in learning how technology and data can support customer‑facing technical teams.

What We Offer

This is an opportunity to gain practical experience working with a real‑world data pipeline while developing your technical, troubleshooting, and communication skills.

You’ll have the opportunity to:

• Apply Python and data‑analysis skills in a production environment.
• Develop experience investigating and resolving real data‑processing issues.
• Learn how data supports industrial fermentation and customer technical support.
• Collaborate with internal stakeholders and build professional communication skills.
• Contribute to the ongoing improvement and reliability of an operational data system.

Ways of Working / Working Conditions

This is a long‑term student assignment expected to require approximately 15–20 hours per week, with flexibility to accommodate your academic schedule. A hybrid arrangement is preferred. Ideally, you would work on‑site in Franklinton, NC, approximately one day per week, with the remaining hours worked remotely. We may have flexibility in the ongoing work arrangement for the right candidate.

On‑site attendance during onboarding and initial training is required, so you must be able to commute to Franklinton as needed during that period.

The anticipated start date is January 2027.

Compensation & Benefits

• Hourly wage of $23

Relevant Information

• Expected start date: January 2027
• Position Type: Long‑term student assignment payrolled through a third‑party provider
• Application Deadline: November 23, 2026

Our purpose guides the way

In Novonesis, we know that solutions rooted in biology can help solve humanity’s biggest challenges. Since we began more than a century ago, this has been our guide. It’s how we’ve gotten so far. And it’s how we’ll impact the future. Now, more than ever, the world needs change. And with biosolutions, the possibilities for transformation are endless. If our purpose resonates with you, we encourage you to apply.

Opportunities for everyone

We are committed to an inclusive recruitment process and equal opportunity for all applicants. Therefore we ask you to apply without a cover letter or photo and instead include a few sentences in your CV explaining your motivation for applying.

We make all employment decisions based on business needs and welcome candidates with a wide range of backgrounds, including ethnicity, religion, gender, sexual orientation, age, disability, or veteran status.

Explore other openings

If this position isn’t the right fit, you may still find other opportunities with us. You’re welcome to explore open roles or create a job agent to stay connected with future opportunities at novonesis.com/Career