Software Engineer (Big Data)

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).  What you'll do:

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

Who you are:

Recent graduate (0-1 years) with a Bachelor's Degree in computer science or equivalent experience

You must be work-authorized in the United States without the need for current or future employer sponsorship. We are not currently able to engage candidates on OPT. 

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

What you'll learn in this role:

• 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