Big Data Engineer

Role overview

Work as a Big Data Engineer on production-grade data platforms that support demanding workloads. The role covers challenging engineering projects involving data warehouses, search systems, streaming analytics, and distributed infrastructure, with an emphasis on building, optimizing, and supporting systems at scale.

Responsibilities

- Build and improve data platforms for organizations with complex operational and analytical requirements. - Help design, optimize, and support production-grade distributed systems. - Work across data warehouses, search engines, streaming analytics, and related platform components. - Investigate difficult data and infrastructure problems and develop practical solutions. - Contribute to projects involving modern technologies for large-scale data processing and analytics. - Collaborate on systems that connect operational data with analytics and AI-oriented workloads where appropriate.

Requirements

- Strong hands-on engineering capability in big-data or distributed-system environments. - A problem-solving mindset and willingness to take ownership of technically difficult work. - Ability to learn quickly and work with evolving technologies and methods. - Interest in designing reliable, scalable systems rather than working only at the application level.

Benefits and work setup

- Full-time, remote position. - Opportunity to work on varied data-platform challenges across different types of organizations and workloads.