AI/Data Engineer, Mid-Level – Python, Azure Data, ML Pipelines

This is a fully remote position, open to applicants in United States.

📋 Description

• Create production-ready ETL workflows utilizing Python and Microsoft frameworks.

• Acquire, transform, and validate both structured and unstructured data.

• Establish schema enforcement, data validation, and quality assurance processes.

• Provide support for Azure Data Lake Storage, Azure SQL, and other Azure data services.

• Design orchestration workflows with Azure Data Factory or Microsoft Fabric / Foundry.

• Develop Python-based data services employing libraries such as Pandas, PyTorch, TensorFlow, and others.

• Create API endpoints and microservices to enhance interoperability for analytics and machine learning platforms.

• Implement logging, monitoring, performance optimization, and ensure operational reliability.

• Work collaboratively with client data scientists, analysts, architects, and governance teams.

• Apply best practices in data governance to ensure compliance, reproducibility, and auditability.

• Support the enterprise data management environment of a federal agency or other clients.

• Represent Intertwine Associates and the client with professionalism, responsiveness, and sound judgment.

⛳️ Requirements

• Over 3 years of experience in developing or supporting advanced statistical, machine learning, or data pipeline solutions.

• Proficient in Python, including the Pandas library.

• Strong SQL expertise and experience with integrating relational database sources.

• Practical experience with Azure cloud environments.

• Background in ETL development using Python and Microsoft technologies.

• Experience in data validation, schema enforcement, and quality assurance practices.

• Familiarity with libraries such as NumPy, scikit-learn, PyTorch, or TensorFlow.

• U.S. citizenship or lawful permanent residency may be required as per contract stipulations.

• Capability to obtain an agency Public Trust clearance.

• Exceptional written and verbal communication abilities.

• Bachelor's, Ph.D., or equivalent professional experience in Data Science, Computer Science, Statistics, Engineering, or a related field.

• Microsoft Data Engineer certification (e.g., DP-203 or DP-700) or a related Azure certification.

• Knowledge of scalable, secure data engineering practices in regulated environments.

• Experience with Microsoft Fabric or Azure AI Foundry in a production setting.

• Proven experience in 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.

• Additional variable compensation.

• Benefits (offered as applicable).