Analytic Software Developer-Senior

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 a Senior Analytic Software Developer to work directly with our customer in a highly collaborative, integrated environment using leading-edge technologies to develop analytics based on data from multiple sources for use throughout the enterprise in support of a variety of missions. In this role, you will work closely with mission stakeholders to capture requirements, create innovative analytics, and deploy solutions to customer-supported tools to automate and enable data and metadata analysis. The ideal candidate for this position will have experience developing analytics and will be familiar working with customer tools. 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 eight (8) years of relevant experience. Also acceptable are a Doctoral degree (PH.D.) and four (4) years, a Master of Science (M.S.) degree and six (6) years, or an Associate of Science (A.S.) degree and ten (10) years of relevant experience. Strong proficiency with object-oriented languages like Java and Python. Experience using Jupyter Notebooks and MapReduce. Experience working with customer tools and data repositories.