Software Developer Security Clearance
Job in
McLean, Fairfax County, Virginia, USA
Listed on 2026-07-20
Listing for:
BOAB Ventures
Full Time
position Listed on 2026-07-20
Job specializations:
-
Software Development
Data Engineering, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Job Description We are seeking a Software Developer to design, build, and maintain scalable data-driven applications, analytics systems, and production pipelines. This role combines software engineering, data modeling, and applied analytics to deliver solutions that improve operational efficiency and enable data-informed decision-making. The ideal candidate is strong in Python development, experienced in data systems and machine learning workflows, and comfortable translating business requirements into scalable technical solutions.
Duties & Responsibilities:
• Participate in data modeling and analytics engineering teams to design scalable data-driven solutions
• Translate business needs into technical requirements, system designs, and implementation plans
• Design, build, and optimize data pipelines and analytics systems supporting production workloads
• Develop and maintain software solutions using Python (object-oriented programming)
• Build and maintain CI/CD pipelines using Git/Git Hub and Jenkins
• Develop and optimize data extraction, transformation, parsing, and storage workflows
• Design and implement logical data architectures supporting SQL and No
SQL systems
• Clean, structure, and prepare datasets for use in machine learning and statistical analysis
• Apply mathematical, statistical, and analytical methods to solve complex data problems
• Develop and test models using structured experimentation and the scientific method (hypothesis → test → evaluate)
• Tie model and system testing to quantitative performance metrics and KPIs
• Develop custom database scripts, queries, and data interfaces
• Build and maintain APIs and data services supporting internal and external applications
• Implement automated testing, configuration management, and deployment workflows
• Support cloud-based systems and deployments using AWS or Azure environments
• Work with distributed computing systems and optimize performance using parallel processing techniques
• Develop automation tools, including CLI-based utilities for non-technical users
• Use issue tracking and collaboration tools such as Jira and Confluence Required Skills Requirements:
• Strong experience programming in Python (object-oriented development required)
• Experience using data science and analytics libraries (Pandas, Scikit-learn)
• Experience designing and building data pipelines incorporating SQL and No
SQL systems
• Experience participating in data modeling and analytics project teams
• Experience translating business requirements into technical solutions
• Experience building and maintaining CI/CD pipelines using Git/Git Hub and Jenkins
• Experience performing data extraction, transformation, and large-scale data processing
• Experience applying statistical, mathematical, and analytical techniques to real-world problems
• Experience working with distributed systems or distributed computation environments
• Experience with automated testing and software deployment workflows
• Experience working with APIs and system integration
• Experience using Jira and version control systems in collaborative environments
• Experience with cloud platforms such as AWS or Azure
• Experience building reproducible, tested, and maintainable software systems Desired Skills
Preferred Qualifications:
• Experience applying machine learning techniques (supervised and unsupervised learning)
• Experience working in Agile development environments
• Experience developing new analytic or data-driven systems from the ground up
• Experience handling or working with encrypted data or secure systems
• Experience writing or reviewing technical documentation and program artifacts
• Experience developing geospatial or geographic analysis models
• Experience building systems involving performance measurement and operational metrics
• Experience automating data preparation and feature engineering workflows
• Experience creating scalable analytics systems for production environments Additional Details
What we offer:
• Flexible time off
• Full medical coverage
• 401(k) with company match
• Referral bonuses
• Performance bonuses
• Life insurance and disability coverage
• Tuition and training reimbursement
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