Data Engineer

Data Engineer OVERVIEW OF POSITION

The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organization’s modern data ecosystem, including cloud-based data platforms, analytics environments, and AI/ML capabilities. In alignment with current industry’s best practices, this role integrates advanced data engineering, software development, and machine learning operations (MLOps) to deliver secure, scalable, and high-performance solutions across the enterprise.

This position designs and manages end-to-end data pipelines, develops cloud-native and on-premise data architectures, and transforms raw structured and unstructured data into high-quality, trusted information assets that support decision-making and mission-critical operations. The Data Engineer also builds custom applications, automation tools, and reusable data services to streamline workflows and accelerate digital transformation efforts.

In addition, this role leads the operationalization of machine learning models, ensuring they are reproducible, observable, and deployed with robust CI/CD and MLOps practices to solve complex business and operational challenges.

Operating within the aerospace and defense sector, the Data Engineer collaborates closely with cross‑functional teams to maximize data value, enhance data quality, and maintain strict compliance with Cybersecurity Maturity Model Certification (CMMC) requirements and the National Institute of Standards and Technology (NIST) Special Publication 800‑171 security controls. This position does not require security clearance.

• Design and optimize scalable SQL and Python-based data transformations, algorithms, and analytics solutions that drive operational improvements and strategic business decisions.
• Architect, build, and maintain batch, micro-batch, and real-time data pipelines using modern ETL/ELT frameworks to integrate data from enterprise systems, cloud platforms, OT systems, and external sources.
• Develop advanced business intelligence and reporting solutions using Power BI, SSRS, and related tooling, including semantic models, reusable datasets, and interactive dashboards.
• Partner with cross‑functional stakeholders to rapidly interpret complex requirements and translate them into scalable, high-value analytical tools, visualizations, and data products.
• Build programmatic and data-driven solutions to enhance Operational Technology, digital manufacturing, and Industry 4.0 initiatives across the organization.
• Implement and maintain strong data governance practices including data quality monitoring, validation rules, lineage documentation, and schema management across all enterprise data ecosystems.

• Develop automation solutions using scripting technologies such as Power Shell, Python, C#, and PERL to eliminate manual processes and improve system performance and reliability.
• Maintain and enhance organizational SharePoint sites, ASP.NET Core, and PHP-based dashboards, ensuring stability, secure configuration, and alignment to evolving business operations.
• Build and support web applications and integration services using modern frameworks including Bootstrap, HTML5, REACT.js, Node.js, ASP.NET Core, Django, PHP, or similar technologies to streamline workflows and system interoperability.
• Utilize Microsoft Graph API to securely integrate with Microsoft 365 services, enable advanced automation, and extend enterprise collaboration tools.
• Apply Microsoft Power Platform capabilities, including Power Apps, Power Automate, and Power BI to rapidly develop internal solutions and maximize existing technology investments.
• Assess business requirements and recommend appropriate development frameworks, architectural patterns, and technologies to ensure scalable and maintainable custom solutions.
• Evaluate incoming business requirements to identify and recommend the most appropriate development tools and frameworks for each custom solution.

• Design, develop, and deploy machine learning and artificial intelligence models…