Software Engineer 2

Posted 6 Hours Ago
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Laurel, MD, USA
In-Office
185K-218K Annually
Expert/Leader
Hardware • Defense • Manufacturing
The Role
Develop analytics, automation, and compliance software using machine learning and data-driven methods. Responsibilities include exploratory data analysis, feature development, model evaluation, ML deployment and monitoring, data processing workflows, emerging AI technology research, and software development in Linux using Python, Java, or Scala. The role also requires collaboration with technical and mission stakeholders, documentation, and adherence to agency compliance standards.
Summary Generated by Built In
Software Engineer
Location: Annapolis Junction, Maryland
Category: Technical
Clearance Requirement: Active TS/SCI with Polygraph
Education Requirement: B.S. in technical discipline
Experience Requirement: A degree in a related field and 14+ years of experience or 18+ years of experience without a degree
Compensation Range: $185,000-$218,000
Position Overview
TAP Engineering is seeking a Software Engineer to develop, enhance, and prototype analytics and automation solutions that modernize compliance and business processes. You’ll work at the intersection of software engineering, data science, and machine learning to develop new capabilities, evaluate emerging technologies, and turn research concepts into practical solutions.
Key Responsibilities
  • Develop and enhance analytics, automation, and compliance-focused software solutions
  • Design and implement machine learning models and data-driven approaches to improve business and compliance processes
  • Conduct exploratory data analysis (EDA), feature development, and model evaluation
  • Research, integrate, and test emerging ML/AI technologies and proof-of-concept solutions
  • Develop, deploy, and monitor machine learning models, metrics, data flows, and supporting tools
  • Build and maintain data processing and analytics workflows in Linux environments
  • Develop software using Python, Java, and/or Scala
  • Work with structured and unstructured data using technologies such as SQL, JSON, Lucene, and JEXL
  • Apply machine learning techniques including Random Forest and other classification and predictive models
  • Collaborate with data scientists, software engineers, and mission stakeholders to translate requirements into technical solutions
  • Use version control, development, and collaboration tools to manage code and project workflows
  • Create and maintain technical documentation and review existing documentation
  • Ensure solutions align with applicable agency compliance standards, policies, and systems

Required Qualifications
  • Active TS/SCI clearance with Full Scope Polygraph (most recent poly within the last 7 years)
  • DoD 8570 IAT II certification
  • Experience with Python
  • Experience with GM Learn
  • Experience conducting exploratory data analysis (EDA)
  • Experience developing in a Linux environment
  • Experience with Jira and Confluence
  • Experience building and monitoring machine learning models
  • Experience with machine learning feature development, including Random Forest
  • Experience with Scikit-learn
  • Experience with Jupyter Notebooks
  • Experience with Java and/or Scala
  • Experience with SQL, JSON, Lucene, and/or JEXL
  • Experience with Git/GitLab and/or Bitbucket/Stash
  • Familiarity with ML data processing and distributed computing technologies such as Ghostmachine (Map/Reduce) and/or Spark
  • Strong documentation, analytical, and problem-solving skills

Preferred Qualifications

  • Background in data science, machine learning, or a related technical discipline
  • Experience implementing ML systems in production environments
  • Experience with AWS
  • Experience with Spark
  • Experience with Large Language Models (LLMs) or Agentic AI
  • Experience with additional machine learning models and techniques
  • Familiarity with agency compliance standards, policies, and corporate systems


Benefits Overview
TAP Engineering offers a comprehensive and competitive benefits package, including:
  • Paid Time Off: 15–25 days annually based on tenure, plus 11 paid holidays (never use-or-lose)
  • Retirement: Up to 15% employer contribution to a 401(k) through match and profit sharing
  • Medical Coverage: Free medical insurance for employees, with optional buy-up plans for dependents
  • Dental & Vision: Employer-paid plans with optional enhancements
  • Insurance Coverage: Employer-paid life insurance, AD&D, short-term disability, and long-term disability
  • Flexible Spending Accounts: Healthcare and dependent care FSAs
  • Tuition Reimbursement: Up to $36,000 per year for approved coursework
  • Additional Benefits: Employee Assistance Program, wellness incentives, discount programs, virtual care, prescription savings, and travel support
  • Performance-Based Rewards: Merit increases, performance bonuses, and referral bonuses

Clearance Requirement
This position requires the ability to obtain and maintain a Top Secret/SCI security clearance with Full Scope Polygraph, based on a current Single Scope Background Investigation (SSBI/SBI). Clearance and polygraph processing will be completed by the U.S. Government. Factors considered for U.S. Government security clearance eligibility include, but are not limited to:
  • U.S. citizenship
  • Favorable criminal history review
  • Education verification
  • Drug and substance use review
  • Credit history review
  • Subject interview

Additional Information
By submitting your resume for this position, you acknowledge and agree that TAP Engineering may share your resume and related application materials with its subsidiaries and affiliated companies for consideration for other available positions.
TAP Engineering is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by law.

Skills Required

  • Active TS/SCI clearance with Full Scope Polygraph, with the most recent polygraph completed within the last 7 years
  • DoD 8570 IAT II certification
  • Bachelor's degree in a technical discipline and 14+ years of experience, or 18+ years of experience without a degree
  • Experience with Python
  • Experience with GM Learn
  • Experience conducting exploratory data analysis
  • Experience developing in a Linux environment
  • Experience with Jira and Confluence
  • Experience building and monitoring machine learning models
  • Experience with machine learning feature development, including Random Forest
  • Experience with Scikit-learn
  • Experience with Jupyter Notebooks
  • Experience with Java and/or Scala
  • Experience with SQL, JSON, Lucene, and/or JEXL
  • Experience with Git/GitLab and/or Bitbucket/Stash
  • Familiarity with Ghostmachine and/or Spark
  • Strong documentation, analytical, and problem-solving skills
  • Background in data science, machine learning, or a related technical discipline
  • Experience implementing machine learning systems in production environments
  • Experience with AWS
  • Experience with Spark
  • Experience with Large Language Models or Agentic AI
  • Experience with additional machine learning models and techniques
  • Familiarity with agency compliance standards, policies, and corporate systems
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The Company
HQ: Columbia , MD
27 Employees
Year Founded: 2021

What We Do

TAP Engineering (LLC) is a small, Maryland-based firm providing secure, trusted microelectronics hardware engineering, firmware development, and research support to the DoD, Intelligence Community, and commercial clients. TAP's engineers and research scientists have an average of 20 years' experience driving technology development from applied research to engineering development, prototype, test, production, and field support.

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