Software Developer with Security Clearance

BOAB Ventures; McLean (VA); On-site; USD 110,000 - 165,000; Full time

Benefits offered by this job

Flexible time off

Full medical coverage

401(k) with company match

Referral bonuses

Performance bonuses

Life insurance

Tuition and training reimbursement

Job summary

BOAB Ventures in McLean, VA, is seeking a Software Developer to design, build, and maintain scalable data-driven applications, analytics systems, and production pipelines, enabling data-informed decisions.

You will translate business needs into technical requirements, develop Python-based solutions, construct data pipelines supporting SQL/NoSQL stores, implement CI/CD with GitHub and Jenkins, and collaborate across teams in a distributed, Agile environment.

Qualifications

• Proficient in Python and OO design.
• Experience with data modeling and analytics projects.
• Experience building data pipelines with SQL and NoSQL.
• 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/GitHub 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 cloud platforms such as AWS or Azure.

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/GitHub and Jenkins
• Develop and optimize data extraction, transformation, parsing, and storage workflows
• Design and implement logical data architectures supporting SQL and NoSQL 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

Skills

Python (OO)

Pandas/Scikit-learn

Data pipelines

SQL/NoSQL

CI/CD (GitHub, Jenkins)

AWS/Azure

Distributed systems

Data modeling

API development

Agile development

Tools

Git/GitHub

Jenkins

Jira

Confluence

AWS

Azure

Docker

Job description

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.

• 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/GitHub and Jenkins
• Develop and optimize data extraction, transformation, parsing, and storage workflows
• Design and implement logical data architectures supporting SQL and NoSQL 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 NoSQL 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/GitHub 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
• 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