00584-Software Engineer 3

Location: Annapolis Junction, MD

Department: Engineering 1

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

Primary Responsibilities

• 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 DataXplorer 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

Required Qualifications

• 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

Desired Qualifications

• 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, MapReduce 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 MapReduce, 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.

About the Company

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.