Software Engineering Internships - Academic Year
Role details
Job location
Tech stack
Job description
Looking to ace your upcoming academic year? As an NBCUniversal Academic Year intern, you'll work on real projects, be part of our collaborative culture, and get the support you need to grow - across two full semesters. Our Internship Program is all about impact, giving you the chance to contribute to meaningful work while building skills that matter. If you're curious, driven, and excited about media, entertainment, and technology, we provide an environment designed to help you learn and grow every day., + At NBC Sports Headquarters in Stamford, CT, you'll have access to great perks and amenities including free shuttle service to/from the Metro North Stamford train station and the office, as well as discounted admission to Chelsea Piers Athletic Club.
Academic Year Internship Program Details
Program Dates: September 21, 2026 - April 23, 2027
Time Commitment: 16-24 hours per week. Exact schedule to be determined based on business need. We will do our best to accommodate course schedules.
Format: Opportunities listed will require an intern to work from Stamford, CT.
Academic Year Recruitment Timeline
April 20: Applications open
May 8: Applications close at 11:59pm ET (we recommend you submit your application as soon as possible - applications may close earlier due to applicant volume!)
Requirements
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Must be actively enrolled in a degree-granting program at an accredited institution during the entire duration of the program (September 2026 through April 2027). December 2026 graduates are not eligible for this Academic Year Internship Program.
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Current class standing of sophomore or above (30 credits).
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Must be presently authorized to work for any employer in the United States and must not require work visa sponsorship from NBCUniversal now or in the future to retain authorization to work in the United States., + Students with class standing of junior or above preferred.
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Cumulative GPA of 3.0 or above.
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Python, Ansible, GitHub, observability/monitoring concepts with various utilities such as, but not limited to, Zabbix, SolarWinds, Datadog, New Relic, Dynatrace, SevOne, and NNMi.
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Conceptual understanding of DBs such as PostgreSQL, NoSQL, and MongoDB. Compute Operating Systems such as Linux (various platforms), Windows.
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Practical in-depth understanding of the Observability construct, with an in-depth understanding of data flow between the source of the metrics and the collectors, developing a software development skills set with Python, Ansible, CI/CD, such as GitHub.