AI / Data Engineer (Mid-Level): Python, Azure Data & ML Pipelines

Intertwine Associates is hiring a mid-level AI / Data Engineer to support a federal agency or other client’s enterprise data management environment. The role develops and optimizes Azure-based data pipelines and services for advanced analytics, machine learning readiness, and data infrastructure modernization, with direct client engagement.

Responsibilities:

• Develop production-grade ETL workflows using Python and Microsoft-based frameworks
• Ingest, transform, and validate structured and unstructured data
• Implement schema enforcement, data validation, and quality checks
• Support Azure Data Lake Storage, Azure SQL, and Azure-based data services
• Design workflow orchestration using Azure Data Factory or Microsoft Fabric / Foundry
• Build Python-based data services using Pandas, PyTorch, TensorFlow, and related libraries
• Develop API endpoints and microservices to support analytics and ML platform interoperability
• Implement logging, monitoring, performance tuning, and operational reliability
• Collaborate with data scientists, analysts, architects, and governance teams
• Apply data governance best practices for compliance, reproducibility, and auditability

Requirements:

• 3+ years of experience developing or supporting advanced statistical, machine learning, or data pipeline solutions
• Proficiency in Python, including Pandas
• Strong SQL skills and experience integrating relational database sources
• Hands-on experience with Azure cloud environments
• Experience with ETL development using Python and Microsoft technologies
• Experience with data validation, schema enforcement, and quality assurance
• Familiarity with open-source data processing libraries such as NumPy, scikit-learn, PyTorch, or TensorFlow
• Excellent written and verbal communication skills
• U.S. citizenship or lawful permanent residency may be required per contract
• Ability to obtain an agency Public Trust clearance
• Knowledge of scalable, secure data engineering patterns in regulated environments
• Experience supporting a federal agency or a regulated health, safety, or financial organization
• Bachelor's, Ph.D., or equivalent professional experience in Data Science, Computer Science, Statistics, Engineering, or a related field
• Microsoft Data Engineer certification (for example DP-203 or DP-700) or a related Azure certification
• Experience with Microsoft Fabric or Azure AI Foundry in production
• Experience building API endpoints or microservices (for example FastAPI or Flask) for analytics and ML platforms