Job Requirements
Chantilly, VA
Intel Agency (NSA, CIA, FBI, etc) Full Scope Polygraph
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
Opportunity via QSSHire | Talent-as-a-Service Recruiting
Role: Software Developer
Location: Chantilly, VA (Onsite)
Clearance: TS/SCI with Full Scope Polygraph
Rate: Open
________________________________________
Are You a Software Developer Ready to Drive Data Modeling and Advanced Analytics in a Mission-Critical Environment?
QSSHire is seeking a Software Developer to support advanced data modeling, analytics, and software development efforts in a secure, high-impact environment. This role is ideal for someone who thrives at the intersection of data science, software engineering, and cloud technologies, with a strong ability to translate business needs into technical solutions.
You will work closely with cross-functional teams to build scalable data pipelines, develop analytical models, and deliver insights that drive operational success.
________________________________________
In This Role, You’ll:
• Participate in data modeling project teams to design and implement analytical solutions
• Translate business needs into actionable technical requirements
• Develop software solutions using Python and object-oriented programming techniques
• Build and maintain CI/CD pipelines using Git, GitHub, and related tools
• Conduct advanced data modeling and analysis using statistical and analytical methods
• Develop and optimize custom database scripts, queries, and user interfaces
• Design and implement data architectures and scalable data pipelines
• Perform data extraction, transformation, and storage across multiple data sources
• Apply machine learning and statistical techniques to structured and unstructured datasets
• Automate data preparation and processing workflows
• Design and integrate APIs and support system interoperability
• Develop tools such as CLI-based interfaces for non-technical users
• Monitor system performance and implement improvements for efficiency and scalability
• Collaborate with cross-functional teams and contribute to technical documentation
________________________________________
You’ll Succeed Here If You Have:
• Experience participating in data modeling and analytics project teams
• Strong ability to translate business requirements into technical solutions
• Experience identifying and implementing scalable solutions for production systems
• Strong programming experience in Python
• Experience with data analytics libraries such as Pandas and Scikit-learn
• Experience conducting advanced modeling, statistical analysis, and data analytics
• Experience applying mathematical, statistical, and analytical techniques
• Experience developing models for geographic or spatial analysis
• Experience using the scientific method (hypothesis, testing, evaluation)
• Experience tying analysis and testing to quantitative metrics
• Experience gathering and analyzing requirements
• Experience with configuration management and performance metrics
• Experience designing logical data architectures
• Experience with data extraction, parsing, transformation, and storage
• Experience preparing and cleaning labeled datasets for analytics and machine learning
• Experience designing and deploying data pipelines (SQL and NoSQL)
• Experience building and maintaining CI/CD pipelines (Git/GitHub)
• Experience with Jenkins or similar CI/CD tools
• Experience with Jira, Confluence, or similar collaboration tools
• Experience with automated testing and deployment processes
• Experience working with cloud platforms (AWS or Azure)
• Experience with distributed computing and parallel processing
• Experience optimizing compute workloads based on resource constraints
• Experience automating data preparation workflows
• Experience designing and implementing APIs
________________________________________
Basic Qualifications:
• Labor Category: Software Developer
• Experience supporting data-driven or analytic systems in secure environments
• Strong foundation in software development, data engineering, and analytics
________________________________________
Degree Requirements:
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
• Equivalent professional experience may be considered in lieu of a degree
________________________________________
Desired Skills:
• Experience with machine learning techniques (supervised and unsupervised)
• Experience working in an Agile development environment
• Experience developing new analytic systems or platforms
• Experience working with encrypted data or secure systems
• Experience creating and reviewing technical documentation
________________________________________
Why QSSHire?
As a modern Talent-as-a-Service recruiting partner, QSSHire connects top talent with impactful opportunities. We focus on aligning your expertise with meaningful work, offering transparency, flexibility, and career growth.
Role: Software Developer
Location: Chantilly, VA (Onsite)
Clearance: TS/SCI with Full Scope Polygraph
Rate: Open
________________________________________
Are You a Software Developer Ready to Drive Data Modeling and Advanced Analytics in a Mission-Critical Environment?
QSSHire is seeking a Software Developer to support advanced data modeling, analytics, and software development efforts in a secure, high-impact environment. This role is ideal for someone who thrives at the intersection of data science, software engineering, and cloud technologies, with a strong ability to translate business needs into technical solutions.
You will work closely with cross-functional teams to build scalable data pipelines, develop analytical models, and deliver insights that drive operational success.
________________________________________
In This Role, You’ll:
• Participate in data modeling project teams to design and implement analytical solutions
• Translate business needs into actionable technical requirements
• Develop software solutions using Python and object-oriented programming techniques
• Build and maintain CI/CD pipelines using Git, GitHub, and related tools
• Conduct advanced data modeling and analysis using statistical and analytical methods
• Develop and optimize custom database scripts, queries, and user interfaces
• Design and implement data architectures and scalable data pipelines
• Perform data extraction, transformation, and storage across multiple data sources
• Apply machine learning and statistical techniques to structured and unstructured datasets
• Automate data preparation and processing workflows
• Design and integrate APIs and support system interoperability
• Develop tools such as CLI-based interfaces for non-technical users
• Monitor system performance and implement improvements for efficiency and scalability
• Collaborate with cross-functional teams and contribute to technical documentation
________________________________________
You’ll Succeed Here If You Have:
• Experience participating in data modeling and analytics project teams
• Strong ability to translate business requirements into technical solutions
• Experience identifying and implementing scalable solutions for production systems
• Strong programming experience in Python
• Experience with data analytics libraries such as Pandas and Scikit-learn
• Experience conducting advanced modeling, statistical analysis, and data analytics
• Experience applying mathematical, statistical, and analytical techniques
• Experience developing models for geographic or spatial analysis
• Experience using the scientific method (hypothesis, testing, evaluation)
• Experience tying analysis and testing to quantitative metrics
• Experience gathering and analyzing requirements
• Experience with configuration management and performance metrics
• Experience designing logical data architectures
• Experience with data extraction, parsing, transformation, and storage
• Experience preparing and cleaning labeled datasets for analytics and machine learning
• Experience designing and deploying data pipelines (SQL and NoSQL)
• Experience building and maintaining CI/CD pipelines (Git/GitHub)
• Experience with Jenkins or similar CI/CD tools
• Experience with Jira, Confluence, or similar collaboration tools
• Experience with automated testing and deployment processes
• Experience working with cloud platforms (AWS or Azure)
• Experience with distributed computing and parallel processing
• Experience optimizing compute workloads based on resource constraints
• Experience automating data preparation workflows
• Experience designing and implementing APIs
________________________________________
Basic Qualifications:
• Labor Category: Software Developer
• Experience supporting data-driven or analytic systems in secure environments
• Strong foundation in software development, data engineering, and analytics
________________________________________
Degree Requirements:
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
• Equivalent professional experience may be considered in lieu of a degree
________________________________________
Desired Skills:
• Experience with machine learning techniques (supervised and unsupervised)
• Experience working in an Agile development environment
• Experience developing new analytic systems or platforms
• Experience working with encrypted data or secure systems
• Experience creating and reviewing technical documentation
________________________________________
Why QSSHire?
As a modern Talent-as-a-Service recruiting partner, QSSHire connects top talent with impactful opportunities. We focus on aligning your expertise with meaningful work, offering transparency, flexibility, and career growth.
group id: 91142086
