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 Descriptio
• n: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 environmen
• t.The ideal candidate combines strong data engineering fundamentals with hands-on experience in modern AI development workflows, including integration into business processe

• s.
• Years of Experien
• ce:5+ years of experience in data engineering, ETL development, or related technical ro
• les1+ years of experience working with or supporting AI/ML development workflows (e.g., data preparation, model lifecycle, or AI integration into applicatio

• ns)
• Key Responsibili
• tiesDesign, build, and maintain scalable ETL data pipelines to ingest, transform, and deliver data across sys
• temsWork with structured and unstructured data sources to support downstream analytics and AI use c
• asesCollaborate with engineering and product teams to integrate AI-driven solutions into existing platf
• ormsDevelop and refine AI development workflows, including experimentation, evaluation, and deployment sup
• portSupport data preparation, feature engineering, and validation for AI/ML mo
• delsEnsure data quality, consistency, and performance across pipel
• inesAssist in automating processes and improving operational effici
• encyDocument technical designs, workflows, and implementation details for maintainability and han
• doffRequired Skills & Experi
• enceStrong experience with ETL/data processing (Pyt
• hon)Experience building and maintaining data pipelines in cloud or distributed environm
• entsFamiliarity with AI/ML development workf
• lowsAbility to work with large datasets and optimize perform
• anceStrong problem-solving and debugging sk
• illsPreferred Qualificat
• ionsExposure to enterprise AI tooling (e.g., Copilot, LLM orchestration, prompt workflows, or simi
• lar)Experience working in regulated or enterprise data environm
• entsPrior experience supporting cross-functional teams (product, engineering, data scie

• nce)
• Education Requirem
• ents:Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical
• fieldEquivalent practical experience in data engineering or AI/ML workflows may be considered in lieu of a d

egree