Software Engineer 2

TAP Engineering; Laurel (MD); On-site; USD 185,000 - 218,000; Full time

Benefits offered by this job

Paid Time Off: 15–25 days annually

401(k) match

Medical coverage

Dental & Vision

Life insurance

FSAs

Tuition reimbursement

Employee Assistance Program

Wellness incentives

Performance bonuses

Job summary

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 turn research concepts into practical solutions.

Ideal candidates have 14+ years of experience with a technical degree, TS/SCI clearance, and a strong background in Python, ML, and Linux.

Qualifications

• Active TS/SCI clearance with Full Scope Polygraph
• 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

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

Skills

Python

Machine learning

EDA

Linux

Education

Bachelor's degree in a technical discipline

Tools

Jira

Confluence

Git/GitLab

Bitbucket/Stash

SQL

JSON

Lucene

JEXL

Jupyter Notebooks

Scikit-learn

Spark

Ghostmachine (Map/Reduce)

Job description

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

• 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.