Mid-Level Full Stack Data Engineer

🕒 June 12

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Agile Defense

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏛️ Government

🔒 Cybersecurity

Government • Cybersecurity • Defense

Agile Defense is a company at the forefront of innovation, dedicated to providing advanced capabilities and tailored solutions for critical national security and civilian missions. With a focus on digital transformation, data analytics, and cybersecurity, Agile Defense is instrumental in safeguarding sensitive assets. The company leverages a data-driven approach to deliver insights that enhance mission operations and accelerate decision-making processes. Agile Defense operates globally, with a strong presence across North America, Europe, Asia, and the Middle East, supporting a wide range of client missions. The company is committed to exploring new ideas and technologies, fostering a culture of innovation to advance their services continuously.

📋 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. • 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.

🎯 Requirements

• 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. • 3–6 years of professional software engineering experience. • 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.