Description:

Kueski is seeking a Staff-level Data Engineer to drive the technical strategy, architecture, and evolution of their data platform.
The role involves delivering scalable data solutions, mentoring engineers, and collaborating across teams to build reliable data systems.

Requirements:

Deep expertise in data engineering, architecture design, and production operations.
Proven leadership in delivering large-scale data platform initiatives and experience with AI-enabled tools.
Expert-level programming in Python and Apache Spark; strong SQL fundamentals.
Extensive experience with big data cloud services (AWS, Google Cloud) and data platforms like Databricks.
Proven experience in CI/CD pipelines and infrastructure-as-code for data workloads.
Strong collaboration skills with cross-functional teams in ML, Analytics, and Product.

Work in a diverse and inclusive environment committed to equity and belonging.
Opportunity to mentor and elevate engineering teams while shaping the future of Kueski's data platform.

Skills