Data Engineering & AI Workflow Engineer

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.

• 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

Pay rate: 50-60/hr. determined by hiring manager during interview process

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to  To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

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

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)