Mid-Level Full Stack Data Engineer

About Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests. Our Core Values Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are. Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated. Honest - Be Trustworthy.Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support. Humble - Be Grounded.Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task. Hungry - Be Eager.Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges. Hustle - Be Driven.Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities Job Description The Mid-Level Full Stack Data Engineer is responsible for building and supporting data-driven features across backend services and thick client desktop applications. This role focuses on structured data ingestion, transformation, validation, and visualization within modern client-server architectures. The position bridges data engineering and application development, contributing to backend processing logic while also supporting integration within Electron-based or similar desktop applications. This is a hands-on engineering role suited for someone who can independently deliver well-defined features while continuing to grow into more advanced system design responsibilities. Key Responsibilities: Develop and maintain data ingestion and transformation pipelines. Implement backend logic to process, validate, and analyze structured and semi-structured data. Contribute to RESTful API development and service-layer integrations. Support integration of processed data into thick client desktop applications (e.g., Electron-based platforms). Assist in database schema design, data modeling, and query optimization. Develop UI-integrated data features such as dashboards, validation results, and analytics views. Write unit and integration tests to validate data processing logic. Participate in sprint planning, backlog refinement, and demos. Collaborate with senior engineers and architects to implement scalable and maintainable data solutions. Education and Background Typically has a Bachelor's or masters degree in Computer Science, Software Engineering, or related field, and 3+ years of experience, or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required. Years of Experience 3–6 years of professional software engineering experience. Required Skills Required Qualifications: Experience with at least one backend language such as: Python Java C# Node.js Experience working with structured data formats such as JSON, XML, CSV, or schema-driven models. Working knowledge of relational databases and data modeling concepts. Experience building or integrating RESTful APIs. Familiarity with frontend frameworks such as React, Angular, or similar technologies. Experience contributing to desktop or thick client applications, preferably using Electron or comparable frameworks. Experience working in Agile development environments. Preferred Skills Preferred / Nice-to-Have Skills: Experience developing or optimizing Electron-based applications. Exposure to data validation, schema enforcement, or metadata-driven systems. Experience building data visualization components or analytics dashboards. Familiarity with containerized development environments using Docker. Exposure to CI/CD pipelines and automated testing practices. Experience operating in regulated, security-conscious, or air-gapped environments. Working Conditions Office environment.

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      "content": "<div>The Mid-Level Full Stack Data Engineer is responsible for building and supporting data-driven features across backend services and thick client desktop applications. This role focuses on structured data ingestion, transformation, validation, and visualization within modern client-server architectures.</div>\n<div>&nbsp;</div>\n<div>The position bridges data engineering and application development, contributing to backend processing logic while also supporting integration within Electron-based or similar desktop applications. This is a hands-on engineering role suited for someone who can independently deliver well-defined features while continuing to grow into more advanced system design responsibilities.</div>\n<div>&nbsp;</div>\n<div><strong>Key Responsibilities:</strong></div>\n\n<li>Develop and maintain data ingestion and transformation pipelines.</li>\n<li>Implement backend logic to process, validate, and analyze structured and semi-structured data.</li>\n<li>Contribute to RESTful API development and service-layer integrations.</li>\n<li>Support integration of processed data into thick client desktop applications (e.g., Electron-based platforms).</li>\n<li>Assist in database schema design, data modeling, and query optimization.</li>\n<li>Develop UI-integrated data features such as dashboards, validation results, and analytics views.</li>\n<li>Write unit and integration tests to validate data processing logic.</li>\n<li>Participate in sprint planning, backlog refinement, and demos.</li>\n<li>Collaborate with senior engineers and architects to implement scalable and maintainable data solutions.</li>\n"
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