Consultant, Data Engineering
Dell Technologies · Posted Oct 16
Enterprise infrastructure, personal computers, servers, storage, and cloud technology solutions
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About the role
Dell's Data Science organization pioneers massively parallel, data-intensive analytic processing to generate meaning and value from petabyte-scale data sets, collaborating with leading academics, industry experts, and skilled engineers. The Data Engineering team builds the canonical, provenance-tagged, SLA-fresh Gold data foundation that grounds AI agents on trustworthy facts. This Consultant role leads hands-on data engineering projects spanning ingestion, transformation, and data product delivery — medallion pipelines, entity resolution, NLP/LLM-based extraction lanes, provenance and trust controls, and performance at scale in the lakehouse.
What you will do
- The medallion pipeline. Take landed data through Bronze → Silver → Gold — conforming structured sources and extracted content to Gold within its freshness SLA, with traceable lineage at every hop.
- Entity resolution. Own the resolve gate that turns many sources into one canonical identity — the join everything downstream depends on.
- Model-based extraction lanes. Build the NLP- and LLM-assisted lanes that pull structure out of unstructured content across many content types — HTML, PDF, DAM assets, and more — tagged as evidence, not fact.
- Provenance and trust. Tag provenance and trust tier on every record. Quarantine what fails the gate with its reason attached, rather than silently dropping it.
- Performance at scale. Keep high-volume data in the lakehouse — and the served layer — lean and fast.
Skills used in this role
What the employer is looking for
- Lakehouse platforms - Databricks, IOMETE, or similar. In-depth Spark - massive-volume data processing and fine-tuning.
- PySpark, Java, and Python. Table formats - in-depth knowledge of Iceberg, Delta Lake, or similar.
- Advanced querying on RDBMS - complex data retrieval across Teradata, Oracle, SingleStore, and SQL Server.
- Deep understanding of data integrity and consistency. Workflow frameworks - Airflow, AWS Step Functions, or similar.
- Chunking, embeddings, and vector databases. S3-compatible storage.
Preferred qualifications
- Bachelor’s degree in Computer Science, Data Engineering, or related field; advanced degree preferred.
- Mongo DB
Benefits and support
- Compensation and benefits are detailed in the job posting
About Dell Technologies
Dell Technologies is a multinational technology company that develops, sells, repairs, and supports computers and related products and services. The company provides foundational infrastructure for enterprises, ranging from personal computers and servers to cutting-edge AI factories and cloud data solutions.
- Industry
- Hardware
- Company size
- 10001+ employees
- Founded
- 1984
- Location
- Round Rock, Texas, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Vice Chairman and Chief Operating Officer
David Kennedy
Chief Financial Officer
John Roese
Global Chief Technology Officer & Chief AI Officer
Jennifer Saavedra
Chief Human Resources Officer
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