Data Engineering & AI Workflow Specialist

Role: Data Engineering & AI Workflow Specialist

Location: Prefer Alpharetta/Atlanta, GA (or Boca Raton, FL) but open to remote (EST Hours)

Duration: 6-12 months

Job Description:

We are seeking a contractor to support our team in building and enhancing data processing pipelines and AI-driven workflows. This role will focus on designing, implementing, and optimizing ETL processes while contributing to the development and operationalization of AI solutions within an enterprise environment.

The ideal candidate combines strong data engineering fundamentals with hands-on experience in modern AI development workflows, including integration into business processes.

Years of Experience:

·        5+ years of experience in data engineering, ETL development, or related technical roles

·        1+ years of experience working with or supporting AI/ML development workflows (e.g., data preparation, model lifecycle, or AI integration into applications)

Key Responsibilities

·        Design, build, and maintain scalable ETL data pipelines to ingest, transform, and deliver data across systems

·        Work with structured and unstructured data sources to support downstream analytics and AI use cases

·        Collaborate with engineering and product teams to integrate AI-driven solutions into existing platforms

·        Develop and refine AI development workflows, including experimentation, evaluation, and deployment support

·        Support data preparation, feature engineering, and validation for AI/ML models

·        Ensure data quality, consistency, and performance across pipelines

·        Assist in automating processes and improving operational efficiency

·        Document technical designs, workflows, and implementation details for maintainability and handoff

·        Required Skills & Experience

·        Strong experience with ETL/data processing (Python)

·        Experience building and maintaining data pipelines in cloud or distributed environments

·        Familiarity with AI/ML development workflows

·        Ability to work with large datasets and optimize performance

·        Strong problem-solving and debugging skills

·        Preferred Qualifications

·        Exposure to enterprise AI tooling (e.g., Copilot, LLM orchestration, prompt workflows, or similar)

·        Experience working in regulated or enterprise data environments

·        Prior experience supporting cross-functional teams (product, engineering, data science)

Education Requirements:

·        Bachelor''s degree in Computer Science, Information Systems, Engineering, or a related technical field

·        Equivalent practical experience in data engineering or AI/ML workflows may be considered in lieu of a degree