Job Description
Overview
We're looking for a Data Engineer who can handle both the operational side of data infrastructure keeping pipelines healthy, debugging issues, tuning performance and the architectural side of building event-driven systems for AI-powered products. You'll work across different client projects, from supporting existing data stacks to designing new pipelines for real-time behavioral analytics and machine learning workloads.
What are the main responsibilities of this role?
On some projects, you'll be the person keeping the engine running: monitoring ingestion pipelines, triaging alerts, tuning warehouse performance, and making sure scheduled jobs don't break. On others, you'll be designing and building new data infrastructure from scratch event-driven architectures, real-time signal processing, and data models that power AI agents and ML pipelines. You'll need to be comfortable switching between these modes depending on what the project needs
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