Mid-Level Data Engineer

Everforth ECS is a global organization specializing in technology solutions for defense and federal agencies. They are seeking a Mid-Level Data Engineer to design and optimize scalable data pipelines and services, supporting advanced analytics and machine learning readiness in an Azure-based environment.

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
• Bachelor's, Ph.D., or equivalent professional experience in Data Science, Computer Science, Statistics, Engineering, or related field
• Microsoft Data Engineer certification or related Azure certification
• Knowledge of scalable, secure data engineering patterns in regulated environments