Integral Ad Science
We're looking for a Data Engineer for our Chicago office to join us in building our next generation data processing platform. As part of the platform team you will work in multiple areas including campaign performance measurement and reporting, ad fraud, and botnet detection.
Are you someone who likes to have fun at work? Are you passionate about picking problems apart, driving results, and making an impact? Do you enjoy working in a fast-paced, dynamic environment where no two days are the same? If so, we want to speak with you!
About our team:
Quite simply our platform is the engine that powers the verification, optimization, and analytics solutions we provide. It has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day and evaluate thousands of data-points in real-time all while responding in just a few milliseconds.
What you'll do:
* Working on Big Data technologies such as Hadoop, MapReduce, Kafka, and/or Spark in columnar databases
* Architect, design, code and maintain components for aggregating tens of billions of daily transactions
* Lead the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation for streaming and batch ETL's and RESTful API's
* Mentor junior team members
What you'll need:
* 5+ years of recent hands-on Java experience
* Strong knowledge of collections, multi-threading, JVM memory model, etc.
* Great understanding of designing for performance, scalability, and reliability
* Superb understanding of algorithms, scalability and various tradeoffs in a Big Data setting
* In-depth understanding of object oriented programming concepts
* Excellent interpersonal and communication skills
* Understanding of full software development life cycle, agile development and continuous integration
* Good knowledge of Linux command line tools
* Experience with Hadoop MapReduce, Spark, Pig
* Solid understanding of database fundamentals, good knowledge of SQL
* Exposure to messaging frameworks like Kafka or RabbitMQ
* Some exposure to functional programming languages like Scala
* Experience with Spark
Who we are:
Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions to empower the advertising and AdTech industry to effectively influence consumers everywhere, on every device. We solve the most pressing problems for brands, agencies, publishers, and technology companies by verifying that every impression has the opportunity to be effective, optimizing towards opportunities to consistently improve results, and analyzing digital's impact on consumer actions. Built on data science and engineering, IAS is headquartered in New York with global operations in ten countries. Our growth and innovation have been recognized in Inc. 500, Crain's Fast 50, Forbes America's Most Promising Companies, and I-COM's Smart Data Marketing Technology Company. IAS was also named to Crain's Best Places to Work in NYC for four years running, Great Companies to Work For in NYS, and AdAge's list of Best Places to Work in the US.
To learn more about us, please visit www.integralads.com or http://bit.ly/glassdoorIAS
Equal Opportunity Employer:
IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.
Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to firstname.lastname@example.org. We will get back to you if there's interest in a partnership.
About Integral Ad Science
Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions to empower the advertising industry.