Title:  (DoD SkillBridge), Specialist, Software Engineering (Data Analyst)

Job Title: (DoD SkillBridge), Specialist, Software Engineering (Data Analyst)

Job Code: 263392751

Job Location: Melbourne, FL

Job Schedule: 9/80

L3Harris’ DoD SkillBridge is connecting transitioning service members to career training opportunities within our organization. We will provide service members with valuable civilian work experience through industry specific training, certifications and on the job experience during their DoD SkillBridge internship to help them ready themselves for their next mission.

L3Harris aims to attract and retain veteran talent and to help bridge the gap between their military service and civilian careers within our organization. L3Harris is eager to share our knowledge and experience with our service members. This internship is an opportunity for the service member to gain a full understanding of the job position outlined below.

TO BE ELIGIBLE FOR DOD SKILLBRIDGE JOB OPPORTUNITES YOU MUST BE AN ACTIVE MEMBER OF THE U.S. MILITARY WITH 180 DAYS OF SERVICE OR FEWER REMAINING PRIOR TO YOUR DATE OF SEPARATION AND HAVE AT LEAST 180 CONTINUOUS DAYS OF ACTIVE SERVICE.

Job Description: 

We are seeking a skilled and innovative Software Engineer/Data Analyst to join our dynamic team. This role will focus on modernizing and migrating an existing PyQt-based analytics application into a high-performance web application using modern web technologies, such as WebGL, to support mission-critical operations, including satellite data analysis. The successful candidate will leverage deep expertise in Python, database systems, JavaScript, and modern software engineering practices to build scalable systems that process large datasets, including time-series data, to identify patterns and trends. The role involves algorithm development, geospatial data processing, and a basic understanding of orbital mechanics for spacecraft to enhance platform capabilities. Collaboration with cross-functional teams is essential to deliver cutting-edge solutions in a fast-paced, high-stakes environment.

Essential Functions:

• Lead the migration of a PyQt-based analytics platform to a web-based application using modern web frameworks and technologies like WebGL for enhanced visualization and performance.
• Design and develop Python-based backend systems with integrated database solutions (e.g., PostgreSQL) to process millions of records daily, including large time-series datasets related to satellite operations.
• Develop and optimize algorithms to identify patterns, trends, and anomalies in complex datasets, incorporating basic orbital mechanics principles for spacecraft data analysis.
• Implement geospatial data processing capabilities to support location-based analytics and visualization in a web environment.
• Implement comprehensive logging and data preservation mechanisms to ensure work persistence and enable continuous analysis across operational shifts.
• Modernize legacy systems by replacing fragmented processes with unified, scalable web-based solutions that enhance data quality and operational efficiency.
• Collaborate with analysts and stakeholders to define requirements, ensuring platforms support detailed follow-up work and historical pattern recognition.
• Apply data analysis techniques, including numerical and array-based programming, to optimize data processing and visualization workflows.
• Maintain and enhance platform performance, ensuring reliability and scalability in 24/7 operational environments.
• Document system architecture, workflows, and processes using modern tools for clear communication with technical and non-technical audiences.

Qualifications:

• Bachelor’s degree in Mathematics, Computer Science, Data Science, or a related field.
• Minimum of 2 years of professional experience in software engineering or data analysis, with a focus on processing large datasets.
• Proficiency in Python and experience with data analysis libraries such as NumPy, Pandas, SciPy, and Plotly.
• Strong knowledge of database systems, including PostgreSQL, with experience in designing and optimizing database schemas for large-scale data processing.
• Familiarity with version control systems (e.g., Git) and containerization technologies (e.g., Docker).
• Experience with GUI development frameworks like PyQt and basic proficiency in JavaScript for web development.
• Basic understanding of orbital mechanics for spacecraft to support satellite data analysis.
• Ability to learn new technologies quickly and thrive in complex, mission-critical environments.
• Strong problem-solving skills and a proven ability to work collaboratively in cross-functional teams

 Preferred Additional Skills:

• Experience with web development technologies, including WebGL, HTML5, CSS, and modern JavaScript frameworks (e.g., React, Vue.js, or Three.js) for building interactive web applications.
• Familiarity with migrating desktop applications (e.g., PyQt-based) to web-based platforms.
• Experience with algorithm development for pattern recognition and trend analysis in time-series data.
• Proficiency in geospatial data processing using tools like PostGIS or GeoPandas, with exposure to web-based geospatial visualization libraries (e.g., Leaflet, Mapbox).
• Experience with additional programming languages such as Mojo, Rust, or C++.
• Familiarity with cloud providers such as AWS and modernizing applications for migration to cloud.
• Contributions to open-source projects or development of libraries, such as numerical or array-based programming libraries.
• Familiarity with performance optimization techniques, such as SIMD vectorization or use of libraries like Numba.
• Experience with other database systems, such as Oracle SQL or SQLite.
• Proficiency in creating technical documentation or reports using modern documentation tools.