Haystack
← Back to Jobs
Technology

AI Data Engineer

QUANTUM TECHNOLOGIES LLCUnited States🇺🇸United StatesPosted 7 Jul 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
Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: AI Data Engineer

Duration: 6 Months + Extension

Bill Rate: $87/hour

Job Type: C2C/1099 Contract

Client: To Be Discussed Later

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

Job Description :-

Client is seeking a highly skilled 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.

Skills

SQL
AWS
ETL
Agile
Airflow
Apache
Generative AI
Python

Similar jobs