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Data Engineer – AI/ML

QUANTUM TECHNOLOGIES LLCDallas, TX🇺🇸United StatesPosted Oct 12, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to develop cutting-edge AI/ML data pipelines and contribute to innovative solutions, with a competitive hourly rate of $83. You'll thrive here if you're a mid-senior data engineer eager to expand your skills in cloud platforms, ETL/ELT, and vector databases while collaborating with a dynamic team. Don't miss out on this chance to grow your career with a reputable company!

Quick Overview

Salary
$83/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
Yesterday
ETLMLOpsMachine LearningGenerative AILLM

Job Description

Job Title: Data Engineer – AI/ML

Location: Dallas, TX

Duration: 6 Months + Extension

Bill Rate: $83/hour

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization:

  • USC
  • GC
  • H-1B
  • OPT-EAD
  • GC-EAD


Job Description 

  • Design, develop, and maintain scalable data pipelines for AI/ML applications.

  • Build ETL/ELT workflows to extract, transform, and load structured and unstructured data.

  • Develop data architectures and data models to support AI and Generative AI solutions.

  • Integrate data from multiple sources using APIs, databases, and cloud platforms.

  • Prepare, clean, and transform data for machine learning and analytics.

  • Support LLM and RAG applications by building data ingestion, processing, and retrieval pipelines.

  • Implement data quality, governance, security, and performance optimization.

  • Collaborate with data scientists, AI engineers, and business teams.

  • Deploy and monitor data pipelines using cloud and automation tools.

  • Experience building large-scale data pipelines and cloud data platforms.

  • Knowledge of machine learning workflows and MLOps.

  • Experience with vector databases such as Pinecone, FAISS, or Milvus.

  • Strong analytical, troubleshooting, and communication skills.

Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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