Consultant, Data Engineering

Dell Inc.; Town of Texas (WI); On-site; USD 188,000 - 243,000; Full time

Benefits offered by this job

Dell Benefits Program

Job summary

Dell Inc. is seeking a data-focused professional to establish design standards and assurance processes for software and data systems.

You will define requirements, generate business insights, and develop new approaches to derive meaning from data, covering data analysis, architecture, and consulting across teams. You will work with model-based extraction, lineage, and data governance to ensure accuracy and operability, while enabling scalable analytics across platforms.

Qualifications

• Strong experience with unstructured data, NLP, and LLM-based extraction for document understanding.
• Hands-on PySpark experience in production data lakes/medallion architectures.
• Expertise in linking and resolving entities at scale with lineage and provenance awareness.

Responsibilities

• Take landed data through medallion stages (Bronze→Silver→Gold) with traceable lineage.
• Own the entity resolution process to create a canonical identity.
• Build model-based extraction lanes (NLP/LLM-assisted) to pull structure from unstructured content.
• Tag provenance and trust tier for every record and quarantine failures with reasons.
• Keep high-volume data lean in the lakehouse and served layer.

Skills

NLP/LLM extraction

PySpark

Document understanding

Embeddings

Entity resolution

Data governance

Tools

Airflow

Lakehouse

Job description

SUMMARY

Interacts with business leaders and internal customers to create and establish design standards and assurance processes for software, systems and applications development to ensure compatibility and operability. Analyzes business goals, defines project scope and identifies functional and technical requirements to produce accurate business insights. Develops fundamentally new approaches to generate meaning from data, creating specifications for reports and analysis based on business needs. Job disciplines may include data analysis and science, data architecture and solutions engineering, visual design and analytics enablement and internal consulting.

ACCOUNTABILITIES

• Take landed data through the medallion (Bronze → Silver → Gold) — conform structured sources (e.g. CPQ / PIM) and extracted content to Gold within its freshness SLA, with traceable lineage.
• Own entity resolution — the resolve gate that turns multiple sources into one canonical identity.
• Build the model-based extraction lanes — NLP and LLM-assisted — that pull structure out of unstructured content across different content types (e.g. HTML), tagged as evidence, not fact.
• Tag provenance and trust tier on every record; quarantine what fails the gate with its reason, rather than dropping it.
• Keep high-volume data in the lakehouse and the served layer lean and fast.

ESSENTIAL REQUIREMENTS

• Strong model expertise for unstructured data — NLP and LLM-based extraction, document understanding, embeddings. This is a core need for the pod.
• Strong PySpark and lakehouse / medallion experience in production.
• Entity resolution / record linkage at scale.
• Airflow or comparable orchestration.
• A provenance mindset — "where did this come from" is a first-class column to you.

COMPENSATION

Dell is committed to fair and equitable compensation practices. The salary range for this position is USD $187,850 - USD $243,100

Benefits and Perks of working at Dell Technologies

• 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