W2 DATA ENGINEER WITH AI/ML HANDS ON EXPERT

Job Title: Data Engineer / AI Workflow Engineer

Location: Preferred: Alpharetta/Atlanta, GA or Boca Raton, FL(REMOTE)
Duration: 6–12 Months
Employment Type: Contract

Role Overview

We are seeking a Data Engineer / AI Workflow Engineer to support the development and enhancement of enterprise data processing pipelines and AI-driven workflows. This role will focus on designing, building, and optimizing ETL processes while contributing to the integration and operationalization of AI solutions within a business environment.

The ideal candidate will have strong data engineering expertise, hands-on experience with Python-based ETL development, and familiarity with modern AI/ML development workflows and enterprise AI integrations.

Key Responsibilities

•Design, develop, and maintain scalable ETL data pipelines for data ingestion, transformation, and delivery across systems

•Work with both structured and unstructured data sources to support analytics and AI-driven use cases

•Collaborate with engineering, product, and data teams to integrate AI solutions into existing platforms

•Support AI development workflows including experimentation, evaluation, deployment, and optimization

•Perform data preparation, feature engineering, and validation activities for AI/ML models

•Ensure data quality, reliability, consistency, and performance across pipelines

•Automate data processes and improve operational efficiency

•Troubleshoot data pipeline issues and optimize performance for large-scale datasets

•Create and maintain technical documentation, workflows, and implementation details

Required Skills & Experience

•5+ years of experience in Data Engineering, ETL Development, or related technical roles

•Strong hands-on experience with Python for ETL and data processing

•Experience designing and maintaining data pipelines in cloud or distributed environments

•Experience working with large datasets and improving data processing performance

•Familiarity with AI/ML development workflows and AI solution integration

•Strong troubleshooting, debugging, and problem-solving skills

Preferred Qualifications

•Experience with enterprise AI tools and workflows such as:

O LLM orchestration

o Prompt engineering/workflows

o AI copilots or similar AI platforms

•Experience working in enterprise or regulated data environments

•Experience collaborating with cross-functional teams including:

O Product teams

O Engineering teams

O Data Science teams

Education Requirements

•Bachelor’s degree in Computer Science, Information Systems, Engineering, or related technical field

•Equivalent hands-on experience in data engineering or AI/ML workflows may be considered in place of a degree

Experience Requirements

•5+ years of data engineering, ETL, or related experience

•1+ years supporting AI/ML development workflows, including data preparation, model lifecycle support, or AI integration into applications