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.

As a Data Engineer you will help develop and run the IAS Publisher Measurement team’s data pipeline that ingests, correlates, aggregates and outputs millions of events. You'll be part of a small, focused, team getting things done. You should be eager to learn new technologies and collaboration is key. This is a chance to be a technical leader for the data pipeline related work within the Publisher team.

What you'll get to do:

Plan delivery of data pipelines and API endpoints for IAS (Integral Ad Science) product offerings of the Publisher team
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
Build tools and frameworks for use across the data science and data engineering teams
Define and implement best practices and development processes, ensuring alignment with IAS standards and governance models
Establish secure and scalable access methods for data consumers across the IAS data platform
Partner with engineering teams on deployments of data science driven solutions

You should apply if you have most of this:

Bachelors or Masters in Computer Engineering, Computer Science, Electronics Engineering, or related fields
3–5 years of professional experience in designing and implementing large scale, data-driven applications
Excellent hands-on coding - with demonstrable expertise in Java, Scala, or Python
In-depth understanding of algorithms, scalability and various tradeoffs in a Big Data setting
Expertise in Big Data frameworks and MPP databases, including Hadoop, Spark, Redshift, Vertica, and Snowflake, with specific exposure and experience in Databricks and dabs for building scalable pipelines, performing complex data assembly and transformation, and enabling large-scale analytics in alignment with IAS best practices.
Knowledge of database technology, SQL, schema design and query optimization techniques
Understanding of full software development life cycle, agile development and continuous integration
Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
Experience in Agile methodologies including Scrum and Kanban
Excellent interpersonal and communication skills

What puts you over the top:

Digital advertising or web technology experience
Experience working with AWS Analytics technologies
Experience working with Apache Airflow
Exposure to foundation models, including experimentation, model evaluation, and integration into production grade systems with a focus on scalability, reliability, and performance.
Experience implementing and optimizing machine learning algorithms for data-driven applications

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, contact us at compliance@integralads.com.

To learn more about us, please visit http://integralads.com/

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 recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.

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Data Engineer

Job Description