Job Description

Cadent powers the evolution of TV brand advertising. We provide marketers, agencies, operators, and media owners with data-driven solutions for buying and selling TV advertising. By connecting brands with opportunities across national inventory sources—cable, broadcast, and digital media—our technology improves efficiencies and boosts the results of linear, addressable, and cross-screen campaigns.

As we continue to grow, we’re looking for a Data Engineer - Intern to join our Data Engineering team for Spring 2025. The Intern will have an opportunity to gain hands-on experience by working directly with our teams, not for them.

The Intern will also spend the spring on an individual project customized to their specific skill set which they’ll present to our Tech Leadership team at the end of the program. Details of the projects and timeline will be laid out by supervisors at the beginning of the program.

The Intern will be responsible for fulfilling tasks set out by supervisors from the specific department they’re working in, including but not limited to:

• Using a variety of open-source technologies (Python, Spark, Airflow), build data pipelines to extract, cleanse, and integrate data, from a variety of sources and formats **Python experience is required**
• Develop scalable solutions that support real-time, batch, and event-based data processing
• Collaborate effectively with other members of the engineering team and broader data services group, including but not limited to Data Scientists, Analytics Engineers, Performance Engineers, Software Engineers and Business Intelligence Analysts
• Conduct research and present findings to the data science team and business stakeholders
• Collaborate with the team in Agile Sprint Planning, demos, seminars, and other team meetings.

Perks:

• Competitive pay
• College credit (if applicable)
• A senior pursuing a Bachelor’s degree at a college or university majoring in a field closely related to the department they are interning preferably
• Able to commit to a part-time (20 hours per week) work schedule between Feb 24, 2025 – May 2, 2025
• Proficient in Python, SQL, and Shell scripting, with some knowledge Docker containerization and Cloud data processing technologies
• Strong problem-solving skills; collaborator
• Excellent verbal and written communicators

Self-motivated with a desire to learn from a rapidly growing company

So, if the leading edge of media technology is the place you want to be, please contact us today and let’s start the conversation!

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