At Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle. Since 2006, we've been the industry's trailblazer, launching the first AI-powered measurement platform for publishers and the first AI-driven DSP. Our AI doesn't just optimize—it delivers the measurable outcomes that matter most to our clients, giving them the competitive edge they need in a crowded marketplace. Ready to join the team that's defining the future of digital advertising?
We are seeking a Software Engineer to join our Big Data Services team. This role focuses on building, maintaining, and optimizing large-scale data processing systems while supporting the needs of our data science and engineering teams.
You will work closely with engineers, data scientists, and researchers to ensure a reliable, scalable, and efficient data infrastructure that powers advanced analytics and modeling workflows.
The primary focus of the team is driving and developing systems and services that enable Quantcast to scale its distributed storage and compute platform. The ideal candidate has a passion for large-scale distributed systems (e.g., HDFS and Spark).
Contribute to the development and optimization of large-scale data workflows using technologies such as Apache Spark or similar frameworks
Develop and operate our large scale data processing systems, making them more elastic and fault tolerant, solving distributed data and compute challenges
Assist in deploying and maintaining production systems, including CI/CD workflows
Provide technical input into roadmaps for the team
Write clean, maintainable, and well-tested code
Recent graduate with a Bachelor's Degree in computer science or equivalent experience
Familiarity with data processing frameworks such as Apache Spark, Hadoop, or similar.
Familiarity with containerization tools (e.g., Docker and Kubernetes)
Experience with workflow orchestration tools (e.g., Airflow) is a plus
Proficient in Java and/or Python programming languages
Linux system administration/automation is a plus
Strong problem-solving and debugging skills
Organized and detail-oriented
Hands-on experience with large-scale distributed systems in production
Exposure to real-world data science and modeling workflows
Best practices in building scalable and reliable data infrastructure
Collaboration across engineering and modeling teams
The salary range for this position is $144,900 - $168,400 USD
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At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes a performance bonus, equity, and a comprehensive benefits package. For more details, visit our Careers Page and see how we support our team. We are headquartered in San Francisco with offices around the world. Quantcast is an Equal Opportunity Employer. Please see the Applicant Privacy Notice for details on our applicant privacy policy. Join the team that unlocks potential.
Quantcast is the AI-powered ad platform built for performance marketers. Leveraging nearly 20 years of expertise, our mission is to radically simplify open internet advertising. We harness AI and machine learning to deliver superior audience intelligence and drive exceptional campaign performance. With real-time audience intelligence, end-to-end workflow simplicity, and future-proof cookieless reach, Quantcast helps advertisers and agencies of all sizes understand audiences deeply, act faster, and turn ad spend into measurable growth.
