Software Engineer, Data Engineer, Data Analyst

Job Summary

• Seeking a Software Engineer to support data‑centric mission efforts by developing strategies and tools to extract meaningful insights from both structured and unstructured data
• This role focuses on applying statistical methods, machine learning, and analytic techniques to identify patterns, characterize data, and enable informed decision‑making
• The engineer will work within a collaborative environment to support data ingestion, enrichment, and visualization efforts aligned to customer mission needs, leveraging modern data tools and frameworks

• Develop strategies to extract, analyze, and derive value from structured and unstructured data
• Apply statistical methods and/or machine learning techniques to identify patterns, trends, and entity behaviors
• Design and deliver analytics and visualizations using tools such as Data Xplorer and GMAE to present data in a clear, mission‑focused narrative
• Support data characterization and ingestion efforts, including analysis and development of requirements for new and existing data types
• Develop and implement automated data enrichment and conversion methods to improve data usability and integration
• Work with metadata, data ontologies, and schemas to enhance data organization and accessibility
• Collaborate with customer teams to understand mission needs and translate them into technical solutions
• Utilize query tools and databases to manage and analyze large datasets across multiple formats (XML, CSV, JSON)
• Contribute to development using Java and/or Python, supporting analytic and data processing capabilities
• Leverage tools such as NiFi to support data flow, ingestion, and transformation processes
• Participate in team collaboration, requirements analysis, and solution development to support evolving mission objectives

• Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
• Twenty (20) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required
• Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required
• Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree
• Minimum of 6 recent years of development experience

• Analytic development experience using scripting languages such as Python and Scala to use statistical libraries against data
• Skilled with big data processing frameworks such as Pig, Map Reduce and Spark to scale algorithms over large volumes of data
• Experience employing combination (2 or more) of analysis, computer science, mathematics, and software engineering skills to devise strategies for extracting meaning and value from large datasets
• Experience with predictive analytics, machine learning, and data mining
• Skilled with data flows, Pig scripting, Hadoop Map Reduce, and various analytic tools
• Skilled working with development and SE teams, other stakeholders agencies, and leadership
• Knowledge of data indexing and analytic development
• Experience working with cloud service providers and data stewards
• Demonstrated experience in network metadata processing, manipulation, and analysis in support of intelligence analysis

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.