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Data Engineer; AI & LLM Expertise

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Pyramid Consulting, Inc
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 55 - 60 USD Hourly USD 55.00 60.00 HOUR
Job Description & How to Apply Below
Position: Data Engineer (AI & LLM Expertise)

Immediate need for a talented Data Engineer (AI & LLM Expertise). This is a 06-12+months contract opportunity with long-term potential and is located in Plano, TX / San Antonio, TX(Onsite). Please review the job description below and contact me ASAP if you are interested.

Job
-17629

Pay Range: $55 - $60/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:
  • Maintain and enhance dbt models across staging (DL2) and mart (DL3) layers.
  • Monitor and triage dbt Cloud job failures, diagnosing root causes using run logs.
  • Support Control-M scheduling changes and DBT deployments.
  • Update .tfvars / Terraform configs for dbt Cloud environment and credential changes.
  • Write and maintain SQL models following SQLFluff lint standards (ruff, mypy for Python).
  • Manage source freshness and data quality test failures.
  • Contribute to Git Lab MR reviews and follow CI/CD pipeline (Slim CI ? CD ? Prod deployment via migration tags).
  • Submit and track Client (SNOW) requests for Client access, service accounts, and infra changes.
  • Apply knowledge of LLM architecture and principles (e.g., tokenization, embeddings) to data preparation and feature engineering for AI/ML projects.
  • Develop and maintain robust Python code for ETL processes, with an understanding of how data is processed by LLMs.
  • Assist in evaluating and optimizing LLM outputs, considering factors like token limits and response relevance.
  • Document AI/ML data pipelines, including explanations of tokenization strategies and data transformations relevant to LLM processing.
Key Requirements and Technology

Experience:
  • Must have skills: “Data Engineer
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