Data Engineer

Remote • Posted 2 hours ago • Updated 2 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
1 Year
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Engineer.

Summary

Data Engineer.

Location: 100% remote

Role focus
This person would review and improve our data lake documentation in Unity Catalog, trace the upstream data pipelines that generate the data, and update business-friendly definitions so the documentation reflects how the data is actually created and used.
Core responsibilities

  • Review existing Unity Catalog table and field documentation and identify gaps, inaccuracies, and missing business context
  • Analyze upstream data pipelines and SQL logic to understand how data is sourced, transformed, and published
  • Run discovery sessions with Shruthi’s team, Tyler’s team, and my team to capture business meaning, usage context, and known data limitations
  • Document approved data use cases, including how specific datasets should be used for reporting, analysis, and AI/LLM scenarios
  • Document data restrictions, including sensitive data considerations, inappropriate use cases, and areas where definitions or quality are not strong enough for broad agent or LLM use
  • Help identify and structure use cases where LLMs or agents could responsibly interact with the data
  • Test LLM responses against documented definitions and use cases to evaluate whether outputs are accurate, safe, and grounded in the intended business context
  • Flag gaps in metadata, definitions, lineage, data quality, and ownership that must be addressed before wider AI enablement

Skills needed

  • Strong SQL skills
  • Experience working with data lake, warehouse, or analytics environments
  • Ability to read and reason through data pipelines and transformation logic
  • Strong documentation skills, especially translating technical logic into business-friendly definitions
  • Comfortable leading discovery conversations with technical and business stakeholders
  • Familiarity with data governance, data quality, semantic definitions, and responsible AI / LLM validation is strongly preferred

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10448381
  • Position Id: 1370-20107-13562
  • Posted 2 hours ago
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