Software Engineer - Intern at DoubleVerify

**Who this is for** A motivated Computer Science student interested in gaining hands-on experience with large-scale data processing and analytics at a global ad

Work type: onsite

Location: NYC Global HQ

Type: Full-time

Summary

**Who this is for** A motivated Computer Science student interested in gaining hands-on experience with large-scale data processing and analytics at a global advertising measurement leader. **Key highlights** You will contribute to mission-critical systems, build batch and streaming data pipelines on GCP, and work within an agile team to improve measurement product quality. **You might be a good fit if you...** - Are pursuing a degree in Computer Science or a technical equivalent. - Demonstrate strong knowledge of data structures, algorithms, and SQL. - Have coding proficiency in languages such as C++, Java, Scala, or Python. - Are eager to learn about distributed systems and cloud-based data engineering at scale.

Job Description

Hybrid: 3 days per week (Tues-Thurs) NYCHQWho we are

DoubleVerify is the leading independent provider of marketing measurement software, data, and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.

As a Software Engineer Intern, you will work with DoubleVerify’s versatile Engineering and product teams on mission-critical systems that process billions of real-time transactions a day and solve/address complex challenges with Big-Data processing and analytics at scale.

What you’ll do







Who you are






The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.

Not-so-fun fact: [Research](https://urldefense.com/v3/__https://hbr.org/2014/08/why-women-dont-apply-for-jobs-unless-theyre-100-qualified__;!!P6nVbRxDCw3cNFlf!EJszlPs7CwYzNT-NJOg9EZZm8SLk_u9r0_XmHjJQZBRBzKMxMlLzRyQb5e9Gb6uO0F2xTBQvUt-QaHkxF-J6DnOrpLeuZQc$) shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

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