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Dell Technologies is seeking a data engineering professional to build and maintain trusted data foundations that power AI agents. You will design and implement end-to-end pipelines from raw sources to gold data, with provenance tagging and SLA-driven freshness across high-volume workloads.
You will work on entity resolution, model-based extraction lanes, and governance controls, using PySpark, Python, and Spark within lakehouse ecosystems.
Build the data foundation that grounds AI agents on facts they can trust. You turn raw, messy, multi-source data - structured feeds and unstructured content alike - into canonical, provenance-tagged, SLA-fresh Gold data that the Knowledge & Intelligence layer serves. Working with business leaders and internal customers, you set the design standards and assurance processes that keep the pipeline compatible, operable, and traceable end to end. This is hands-on data engineering where correctness and lineage aren't nice-to-haves - they're the product. You develop fundamentally new approaches to pull meaning out of data, and every record you land answers the question “where did this come from, and can we trust it?”
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com