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Data Engineering & AI Workflow Specialist

Datum Software, Inc

Alpharetta / Boca Raton / Remote, GA(remote)

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JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Best Practices, Cloud Computing, Computer Programming, Computer Science, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Database Extract Transform and Load (ETL), Debugging Skills, Identify Issues, Microsoft Product Family, Onboarding, Operational Improvement, Operational Strategy, Operational Support, Performance Tuning/Optimization, Problem Solving Skills, Process Improvement, Product Engineering, Python Programming/Scripting Language, Scalable System Development, Software Engineering, Structured Data, Systems Engineering, Technical Writing, Unstructured Data, Use Cases
LOCATION
Alpharetta / Boca Raton / Remote, GA
POSTED
4 days ago
Data Engineer (ETL & AI/ML)
 Alpharetta, GA / Boca Raton, FL (Remote – EST Hours)
Location: Preferred: Alpharetta/Atlanta, GA or Boca Raton, FL | Open to Remote (EST Hours)
 
Additional Requirements:
  • Supplier must conduct in-person identity verification upon offer acceptance as part of onboarding compliance.
  • Candidate will have access to the development environment and Personally Identifiable Information (PII).
 
Top 5 Required Skills:
  • Strong Python development experience with ETL and data processing.
  • Experience building and maintaining scalable data pipelines in cloud or distributed environments.
  • Familiarity with AI/ML development workflows and data preparation.
  • Experience working with large datasets and optimizing data pipeline performance.
  • Strong analytical, troubleshooting, and debugging skills.
 
Job Summary:
We are seeking an experienced Data Engineer to support the design, development, and optimization of scalable data processing pipelines and AI-driven workflows. The ideal candidate will have a strong background in data engineering, ETL development, and cloud-based data processing, along with hands-on exposure to AI/ML workflows. This role involves collaborating with cross-functional teams to deliver high-quality data solutions that support analytics and enterprise AI initiatives.
 
Key Responsibilities:
  • Design, develop, and maintain scalable ETL pipelines to ingest, transform, and deliver data across multiple systems.
  • Process and manage structured and unstructured data to support analytics and AI use cases.
  • Collaborate with engineering, product, and data science teams to integrate AI-driven capabilities into existing platforms.
  • Develop and enhance AI development workflows, including experimentation, evaluation, deployment, and operational support.
  • Prepare, validate, and engineer data for AI/ML model development.
  • Ensure data quality, integrity, scalability, and performance across all data pipelines.
  • Automate data processes to improve operational efficiency and reduce manual effort.
  • Create and maintain technical documentation, including architecture, workflows, and implementation details.
 
Required Qualifications:
  • 5+ years of experience in data engineering, ETL development, or related technical roles.
  • 1+ years of experience supporting AI/ML development workflows, including data preparation, model lifecycle, or AI integration.
  • Strong programming experience with Python for ETL and data processing.
  • Experience developing and maintaining data pipelines in cloud or distributed environments.
  • Knowledge of AI/ML development workflows and best practices.
  • Experience handling large-scale datasets and performance optimization.
  • Excellent problem-solving, analytical, and debugging skills.
 
Preferred Qualifications:
  • Experience with enterprise AI tools such as Microsoft Copilot, LLM orchestration, prompt engineering workflows, or similar technologies.
  • Experience working in regulated or enterprise data environments.
  • Experience collaborating with cross-functional teams, including Product, Engineering, and Data Science.
 
Education:
  • 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.
 

“All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran”
 
 
 
 

About the Company

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Datum Software, Inc