Intern - Big Data Developer - Summer 2026

About Lumen

Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress.

 

We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.

About Lumen's Internship Program

Lumen offers students a unique opportunity to gain hands-on experience in digital innovation through a 10-week summer internship. Interns learn, network, and advance their careers while helping drive technology forward - embark on your exciting journey with Lumen today

 

Come join Lumen's fully immersive, 10-week summer internship program. Our interns demonstrate curiosity, innovation, and a passion for advancing technology. We believe that empowering our people and helping them reach their full potential is essential for the long-term success of both Lumen and our customers

 

Hear from previous interns on the impact this program has had on their career. CLICK HERE!

The Role

Intern must be available to work full time (40 hours/week) during the 10-week program

 

• Program Dates: May 29 – August 7, 2026.
• Location: This position is fully remote / work from home in the continental US. 
• Work Authorization: US Work Authorization required for this role. 

 

Program eligibility is contingent on the candidate’s commitment to the entire 10-week program. No exceptions will be made.

The Main Responsibilities

The role supports Lumen's Cybersecurity organization and will interact with our Threat Research and Operations team - Black Lotus Labs. This network critical team is comprised of security professionals who analyze and respond to cyber threats across Lumen's global network. Unlike other security research entities, Black Lotus Labs doesn’t passively monitor malicious traffic flowing through the network; the team works to actively prevent bad actors from using Lumen network resources – or those of our customers – to conduct criminal activities.

 

As an intern, your work will surround extending Black Lotus Lab's ability to help find threats on the Internet leveraging our large source of network data. The focus on the internship will be around helping write code that identify vulnerable services or other types of similar infrastructure within our data sets and threats that may be abusing them. The first part of the internship will consist of getting to know the team, the environment, and selecting a protocol/service, the second part will be code implementation and execution.

 

Other responsibilities of intern will include:

o Participating in peer code reviews to improve the quality of code written by other team members

o Debugging computer code to fix errors and improve performance

o Building test scenarios and test cases

o Analyzing data to identify trends and formulate solutions

o Document the components and/or views properly

 

What We Look For in a Candidate

Required qualifications

• Enrolled at a 4-year accredited college or university, rising senior level education status at the start of the internship.
• Graduating August 2026 – May 2028
• Preferred fields include but not limited to: Bachelor's or Masters Degree in Computer Science, Cyber Security, Data Science or related field 

Proficiency and understanding of:

· Proficiency and understanding of:

o Experience in Python/C/C++/Java/Scala

o Experience with MySQL, Postgresql, or similar database

o Experience with source code control tools such as git or SVN

o Networking and Internet technologies

· Preferred qualifications

o Previous experience working in big data and/or information security

o Project work or school work around big data or information security

o Experience with Spark, Elasticsearch, Hadoop, or other similar technologies.

Compensation

Internship compensation ranges depend on each individual’s level of education, geographic location, and experience/qualifications aligned to the role.

Hourly Based Pay Range:
Min: $ 31/hour
Max:  $ 46/hour

 

What to Expect Next

Once you complete and submit your application, you will be i