AI/Data Engineer, Mid-Level – Python, Azure Data, ML Pipelines
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Job Description
AI/Data Engineer building Python ETL workflows, Azure data services, and ML-ready infrastructure. Supporting federal and regulated clients with scalable, governed data platforms.
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 for analytics and ML platform interoperability
- Implement logging, monitoring, performance tuning, and operational reliability
- Collaborate with client data scientists, analysts, architects, and governance teams
- Apply data governance best practices for compliance, reproducibility, and auditability
- Support a federal agency or other client's enterprise data management environment
- Represent Intertwine Associates and the client with professionalism, responsiveness, and sound judgment
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 NumPy, scikit-learn, PyTorch, or TensorFlow
- U.S. citizenship or lawful permanent residency may be required per contract
- Ability to obtain an agency Public Trust clearance
- Excellent written and verbal communication skills
- 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
- Knowledge of scalable, secure data engineering patterns in regulated environments
- Experience with Microsoft Fabric or Azure AI Foundry in production
- Experience building API endpoints or microservices, such as FastAPI or Flask
- Experience supporting a federal agency or regulated health, safety, or financial organization
Benefits:
- Competitive compensation package
- Discretionary bonuses
- Signing or retention incentives
- Other variable compensation
- Benefits (offered as applicable)
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