Senior Data Engineer in Chicago, IL

$150K - $200K(Ladders Estimates)

Integral Ad Science   •  

Chicago, IL 60601

Industry: Consumer Technology


8 - 10 years

Posted 36 days ago

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 a Senior Data Engineer to join our Data Engineering 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 a Senior Data Engineer you will build and expand upon the testing framework and testing infrastructure of IAS' core ad verification, analytics and anti ad fraud software products.

The ideal candidate is naturally curious, dedicated, detail-oriented with a strong desire to workwith awesome people in a highly collaborative environment. You should be able to not take yourself too seriously as well.

What you'll do:

  • Planning delivery of data pipelines and API endpoints for IAS (Integral Ad Science) product offerings
  • Architect and build data pipelines and data stores specialized for data science needs
  • Design architecture to streamline data science processes
  • Design and implement systems for large-scale data analysis and machine learning
  • Build tools and frameworks for use across the data science and data engineering teams
  • Define and implement best practices and development processes
  • Partner with engineering teams on deployments of data science driven solutions
  • Participate in training and mentoring of data engineers

Who you are and what you have:

  • Bachelors or Masters in Computer Engineering, Computer Science, Electronics Engineering, or related fields
  • 9+ years of experience designing and building data-intensive applications
  • Excellent interpersonal and communication skills
  • Excellent hands-on coding - Java/Scala/Python
  • In-depth understanding of algorithms, scalability and various tradeoffs in a Big Data setting
  • Expertise in using Big Data frameworks (e.g., Hadoop, Spark) and MPP databases (e.g., RedShift, Vertica, Snowflake) for complex data assembly and transformation
  • Knowledge of database technology, SQL, schema design and query optimization techniques
  • Understanding of full software development life cycle, agile development and continuous integration

What puts you over the top:

  • Digital advertising or web technology experience
  • Experience working with AWS Analytics technologies
  • Experience working with Apache Airflow
  • Experience implementing machine learning algorithms

Valid Through: 2019-10-7