Consultant, Data Engineering

Dell Technologies

Confirmed live today High trust

Quick summary

Work type
On-site
Location
TX
Salary
$187,850–$243,100 / yr
Posted
4 days ago
Freshness
Confirmed live today
Closes
Oct 19, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k
This role $215k
$117k $257k
below market most similar roles pay here above market

This role pays more than 82% of similar roles. Most pay $130,500–$211,200 — the blue band above. At the midpoint, this role pays about $215k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About Dell Technologies

Dell Technologies is a US-based technology company that designs and sells PCs, servers, storage and networking hardware, along with related software and IT services. Its product lines include the XPS, Latitude and Alienware PCs and the PowerEdge server and PowerStore storage families.

Dell Technologies currently has 71 open roles on FindRole.

Listed pay typically runs $175,000–$235,750 across 66 roles with salary data.

Most-posted roles

View all roles at Dell Technologies

At a glance

TL;DR · Consultant, Data Engineering

Role Posting Log in to save

The Consultant, Data Engineering joins the team to interact with business leaders and internal customers to establish design standards and assurance processes for software and systems development. This role involves analyzing business goals to define project scope and technical requirements while developing new approaches to generate meaning from data. Day-to-day responsibilities include moving landed data through the medallion architecture from Bronze to Gold, owning entity resolution to create canonical identities, and building model-based extraction lanes for unstructured content. You will use NLP, LLMs, PySpark, and Airflow to manage high-volume data in a lakehouse environment. Key tasks include tagging provenance and trust tiers on records and ensuring traceable lineage while maintaining lean, fast served layers for various content types like HTML.

Skills

PySpark NLP LLM Airflow Entity Resolution Data Architecture Embeddings Document Understanding

What you'll do

  • Process landed data through the medallion architecture to ensure structured sources meet freshness SLAs.
  • Own the entity resolution process to consolidate multiple sources into a single canonical identity.
  • Build model-based extraction lanes using NLP and LLMs to extract structure from unstructured content.
  • Tag provenance and trust tiers on every record while quarantining data that fails quality gates.
  • Maintain high-volume data in the lakehouse and served layers to ensure performance and speed.
  • Define project scopes and identify functional requirements to produce accurate business insights.
  • Create specifications for reports and data analysis based on specific business needs.

What we're looking for

  • Strong model expertise for unstructured data, including NLP, LLM-based extraction, document understanding, and embeddings.
  • Strong PySpark and lakehouse/medallion experience in production.
  • Experience with entity resolution and record linkage at scale.
  • Proficiency with Airflow or comparable orchestration tools.
  • Ability to manage data lineage, provenance, and trust tiers for high-volume data.
  • Ability to develop model-based extraction lanes for unstructured content like HTML.

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