About Wurl, LLC.
At Wurl, our mission is to create innovative technologies and services that help accelerate the shift to streaming. At our core, we are innovators focused on driving the streaming industry forward with technologies that help connect viewers to the right content and ads. Our technology and data-driven solutions help companies reach new audiences, engage high-value viewers, and ultimately increase their revenue.
In 2022, Wurl was acquired by AppLovin (Nasdaq: APP), a leading marketing platform, giving our employees the best of both worlds: the dynamic environment of a 150+ person startup as well as the stability of a high-growth public tech company. We invest in providing a culture that fosters passion, drives excellence, and encourages collaboration to drive innovation. Wurl is a fully-remote company that has been globally recognized for our people and technology, having been named a Great Place to Work by Fortune in 2022, 2023, and 2024; an Ad Tech Company of the Year finalist by the UK Business Tech Awards in 2023; a BIG Innovation Awards winner in 2024 and 2025; and the “Innovation in Advertising” winner by the StreamTV Awards in 2024.
Wurl connects the world’s video content to global audiences. Our data platform powers advanced analytics, real-time decision-making, and secure operations across the OTT video streaming ecosystem.
We’re seeking a Data Engineering Intern to support our performance marketing initiatives on Connected TV (CTV). This role offers hands-on experience in building data-driven solutions that enhance ad targeting, attribution, and campaign optimization in the evolving landscape of streaming TV advertising.
What You’ll Do- Collaborate with the Data Engineering team to develop and maintain scalable data pipelines that support performance marketing efforts on CTV.
- Assist in implementing attribution models that tie CTV viewership to campaigns.
- Work with cross-functional teams to integrate AI-driven targeting into our data infrastructure.
- Analyze viewer engagement data to identify opportunities for optimizing return on ad spend (ROAS).
- Contribute to the development of tools and dashboards that provide insights into campaign performance and audience behavior.
- Pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
- Proficiency in Python and SQL.
- Familiarity with data engineering concepts and tools (e.g., ETL processes, data warehousing).
- Interest in digital advertising, performance marketing, and streaming media technologies.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Experience with cloud platforms (e.g., AWS) and big data technologies.
- Understanding of ad tech ecosystems and metrics (e.g., CPM, CTR, ROAS).
- Exposure to AI/ML concepts, particularly in the context of ad targeting and personalization. DataBricks experience
- Familiarity with interactive ad formats and their implementation.
- Paid internship ($30/hr) with flexible scheduling.
- Remote-first work culture and support.
- Mentorship from experienced engineers and product experts.
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