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AI Data Engineer

QUANTUM TECHNOLOGIES LLCUnited States🇺🇸United StatesPosted Sep 23, 2026

Why This Role Stands Out

This hybrid AI Data Engineer role offers exciting opportunities to leverage your advanced Python and OpenAI expertise on impactful, cloud-native solutions, with a competitive hourly rate of $87. You'll thrive here if you're a skilled data engineer passionate about building scalable AI-driven pipelines and collaborating within a dynamic technology environment. Apply today to contribute to cutting-edge projects with significant potential for professional growth.

Quick Overview

Salary
€87/hr
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
SQLAWSETLAgileAirflowApacheGenerative AIPython

Job Description

Job Title: AI Data Engineer

Location: Remote

Duration: 12 Months + Extension

Bill Rate: $91/hr on C2C

Job Type: C2C/1099 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Descriptions:

Client is seeking a highly skilled Senior Python / AI Data Engineer with strong expertise in advanced Python development, OpenAI integrations, and cloud-native data engineering on AWS. The ideal candidate will have deep experience building scalable data pipelines, AI-driven solutions, and production-grade ETL systems.

Key Responsibilities:

  • Design, develop, and optimize advanced Python applications for data and AI use cases.
  • Build and integrate OpenAI-based solutions (LLMs, prompt engineering, APIs, embeddings).
  • Develop and maintain ETL/data pipelines for large-scale data processing.
  • Implement workflow orchestration using Apache Airflow.
  • Work with AWS services, including Helix (internal platforms if applicable), data services, and cloud infrastructure.
  • Manage CI/CD pipelines using Harness.
  • Collaborate with data scientists, analysts, and business teams to deliver high-quality data solutions.
  • Ensure best practices for performance, security, scalability, and reliability.

Required Skills & Qualifications:

  • Strong and advanced Python development experience.
  • Hands-on experience with OpenAI / Generative AI APIs.
  • Solid experience with AWS cloud services.
  • Proven expertise in Airflow for orchestration.
  • Experience with Harness for CI/CD.
  • Strong ETL and data engineering skills (data modeling, transformations, pipelines).
  • Strong SQL and data analysis capabilities.
  • Experience working in Agile/DevOps environments.

Preferred Qualifications:

  • Prior experience in financial services or investment management domains.
  • Exposure to large-scale, enterprise data platforms.

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