Job Description:
This is a great opportunity to join a high-impact data engineering team building products that directly power how brands measure advertising effectiveness. At DISQO, we use modern cloud infrastructure, scalable data platforms, and pragmatic engineering practices to solve complex, real-world problems at scale. We are looking for a strong Data Engineer who is hands-on, curious, and eager to grow. You’ll work closely with staff engineers, product managers, and analytics partners in an environment that values ownership, quality, and continuous improvement. You’ll be encouraged to leverage modern tooling, including AI-assisted development tools, to move faster while maintaining high engineering standards. We believe the best systems are built by small, focused teams that take responsibility for outcomes. We value clean design, data correctness, operational excellence, and thoughtful use of automation to reduce toil and improve developer productivity. As a Data Engineer, you will design, build, and operate data pipelines and data products that support DISQO’s ad measurement platform. You’ll work primarily on batch and near-real-time data processing systems, contributing to analytics-ready datasets used by internal teams and customers. You’ll own well-defined components and projects end-to-end, from development through production support, while receiving guidance and technical mentorship from senior engineers. Over time, you’ll deepen your expertise across distributed data systems, cloud infrastructure, data modeling, containerized workloads, and modern development workflows, including effective use of AI tools to accelerate development and debugging.
