We are looking for a visionary technical leader who is a master of distributed data processing (Scala/Spark) and passionate about the intersection of data engineering and Artificial Intelligence. You’ll serve as a force multiplier, working closely with engineering leadership, product managers, and analysts in a collaborative environment where rapid innovation and systemic impact matter.
We believe the best software is built by highly aligned, autonomous teams that take ownership and move quickly. We use agile development practices, modern tooling, and strong engineering discipline to deliver early and often. We care deeply about architectural excellence, data correctness, system reliability, and building intelligent systems the right way.
As a Staff Data Engineer, you will set the technical direction for DISQO’s ad measurement platform. You will architect, build, and scale our most complex data pipelines while spearheading the integration of Generative AI capabilities directly into our core data infrastructure and products. You will tackle our hardest scalability challenges, utilizing expert-level Spark and Scala to process massive datasets, while leveraging LLMs to unlock new value from unstructured and structured data.
Operating with a high degree of autonomy, you will lead cross-functional technical initiatives, drive architectural decisions, and pioneer how we use AI to enrich data, automate pipelines, and improve data quality. You will mentor senior and mid-level engineers, raising the technical bar for the entire team while expanding DISQO's technical depth across big data systems, cloud infrastructure, and applied AI.