Staff Data Engineer (Scala, Spark, & Gen AI) - DISQO - Remote - Global

DISQO’s mission is to build the world’s most trusted ad measurement platform that fuels brand growth. The world’s largest brands, agencies, and media companies trust DISQO for expert insight and AI-driven intelligence about their advertising performance across all platforms. We capture people’s sentiments and journeys, connecting them with the brands they value and the media they consume. With this identity-based approach, brands gain more accurate and authentic insight so they can create more meaningful interactions. Joining DISQO Nation means becoming part of a community that champions speed, innovation, and continuous growth. We invest deeply in our talent, empowering our teams to reach their highest potential. Together, we are shaping the future of work at DISQO—defined by performance, purpose, and impact. We show up each day with curiosity and ambition, committed to learning, accelerating growth, and making a lasting difference. Grounded in our values and principles, we lead and collaborate to elevate performance, accountability, and excellence at every level of the organization. And through it all, we make sure to have fun along the way. This is a great opportunity to join a fun, highly motivated team and lead the development of intelligent data products that directly power how brands measure advertising effectiveness. At DISQO, we use modern cloud infrastructure, Generative AI, and expert-level data engineering to solve complex, real-world problems at scale. 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.