Data Engineer Intern

Job Description:

Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and we’re looking for an Intern Data Engineer to join our Walled Gardens Data team. If you are excited by technology that 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, then IAS is the place for you!

As an Intern Data Engineer you will work with more senior engineers in building new data pipelines on AWS, migrate data pipelines to a new platform or extend features and optimize performance of existing data pipelines. You will work as part of tight-knit team on integration projects with third parties, and help us improve and scale our existing software as well as apply best practices in the cutting edge data engineering environment.

What you’ll get to do:

• Implement data processing solutions using Big Data stack including but not limited to Hadoop, Spark, EMR and Snowflake

• Work with data engineers and data scientists to analyze, design, code, debug, test, document, and deploy changes to the system

• Participate in sprint meetings and daily stand-ups

• Attend intern activities designed to allow you to develop your skills, better understand your career interests and identify opportunities for future employment

• Network with other interns and IAS employees

You should apply if you have most of this experience: 

• A rising senior actively working towards obtaining a BA/BS degree in Computer Science, Mathematics, or a related field

• Relevant coursework, and interest, in build, test, automation, and DevOps frameworks

• Experience programming in object oriented languages such as Java, C#, Scala or Python as well as proficiency in Linux

• Basic understanding of algorithms and data structures

• Ability to communicate clearly, verbally and in writing

• Effective time management skills and ability to work in a team atmosphere

What puts you over the top:

• Some practical experience working on AWS or another cloud provider

• Some practical experience developing with Apache Spark and/or Hive

• Good knowledge of SQL and experience with columnar datastores

About Integral Ad Science