Applications Developer

At NetSage, we are more than a government contractor—we are a mission-focused partner dedicated to advancing national security through exceptional cyber expertise. We believe our success begins with our people, which is why we invest in and care for our employees. We know that employee retention is mission continuity, and we are committed to building long-term careers where our people can grow alongside our customers' evolving missions. Our employees enjoy meaningful work, competitive compensation, outstanding benefits, and opportunities to expand their skills across multiple mission areas. To learn more about our comprehensive benefits and what it's like to build your career at NetSage, visit our Careers page.

Due to the sensitive nature of the work we support, some job descriptions intentionally provide a high-level overview of the role. If you'd like to learn more about a particular opportunity, we encourage you to apply directly or connect with us through our Get In Touch page. We'd be happy to discuss how your experience aligns with our mission and explore where you can make an impact.

Job Description: 

We are seeking an Application Developer to build scalable applications that transform complex data into practical capabilities for mission users. In this role, you will work directly with data scientists and mission analysts to prototype, develop, integrate, test, deploy and maintain analytic tools within the customer's enterprise environment. The ideal candidate for this position will combine strong software development skills with an understanding of data science and machine learning, enabling them to turn analytical concepts into reliable, production-ready applications that enhanced mission workflows. Please consider applying if you meet the following qualifications. 

Required Qualifications:

• TS/SCI with polygraph security clearance.
• A Bachelor of Science (B.S.) degree in Computer Science or a related field and five (5) years of relevant experience. Also acceptable are a Doctoral degree (PH.D.) and zero (0) years, a Master of Science (M.S.) degree and three (3) years, or an Associate of Science (A.S.) degree and seven (7) years of relevant experience.
• Strong proficiency with object-oriented languages like Java and Python.
• Experience with PySpark and distributed data processing.
• Experience using Jupyter Notebooks for development, analysis, prototyping, or data science workflows.
• Familiarity with machine learning concepts, data analysis, and data science methodologies.
• Experience working with customer-specific tools, enterprise architectures, data flows, and Big Data environments.