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Published 2025-05-31

Integral Ad Science

Company details

Company: Integral Ad Science
Type de job: Remote
Country: United States
City: Los Angeles
Region: California
Experience: 4 years or more



Description of the offer

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

We are seeking a Senior Data Engineer to join our Data Engineering platform team. You will work on the data pipelines for IAS’ core ad verification, analytics and anti ad fraud software products.

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

You should apply if you have most of this:

  • Bachelors or Masters in Computer Engineering, Computer Science, Electronics Engineering, or related fields
  • 8+ years of experience designing and building data-intensive applications
  • Excellent interpersonal and communication skills
  • Excellent hands-on coding skills in Java and Python
  • In-depth understanding of algorithms, scalability and various tradeoffs in a Big Data setting
  • Expertise in using Big Data Spark framework 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 Scala
  • Experience working with AWS Analytics technologies
  • Experience implementing machine learning algorithm

New York Applicants: The salary range for this position is $100,800 – $172,800. Actual pay may vary based on experience or geographic location.

About Integral Ad Science

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.


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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.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions.


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