Software Developer (Data-driven)

Ardent Principles, Inc. • Chantilly, VA

12h • Onsite

About The Position

We are seeking a data-driven Software Developer to design, build, and refine the extract, transform, and load (ETL) services that power identity data management. In this role, you will help deliver validated analytic models and production-ready data services that strengthen how identity data is integrated, transformed, and trusted across complex environments. This position is ideal for someone who thrives at the intersection of software engineering, data architecture, and mission-focused analytics. The company offers advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management. Ardent Principles provides a competitive salary and a comprehensive, industry-leading benefits package, committed to excellence, integrity, and mission-focused impact, aiming to bridge satisfied clients and fulfilled employees.

Requirements

• Active TS/SCI with Full Scope Polygraph.
• Demonstrated experience in actively participating in data modeling project teams.
• Demonstrated experience in translating business needs into actionable technical requirements.
• Demonstrated experience in identifying, analyzing and implementing scalable solutions for optimizing operational efficiency of production systems and processes.
• Demonstrated experience in conducting advanced modeling and data analysis.
• Demonstrated experience in applying varied mathematical, statistical, and data analytics techniques.
• Demonstrated experience in developing models in support of geographic analysis.
• Demonstrated experience in using the scientific method such as setting up hypotheses, testing them through experimentation, evaluating results.
• Demonstrated experience in tying testing to quantitative metrics.
• Demonstrated experience in gathering and analyzing requirements.
• Demonstrated experience in configuration management.
• Demonstrated experience in performance measurement and metrics.
• Demonstrated experience in developing custom database scripts, queries, and graphical interfaces.
• Demonstrated experience in designing and optimizing logical data architectures.
• Demonstrated experience in conducting data extraction, parsing, and manipulation and storage.
• Demonstrated experience in cleaning labeled data in preparation for use in machine learning and statistical approaches.
• Demonstrated experience in designing, building, and deploying production read data pipelines incorporating SQL and NoSQL backends.
• Demonstrated experience in building and maintaining CI/CD pipelines with source control software such as Git or GitHub.
• Demonstrated experience in using continuous build and delivery software such as Jenkins.
• Demonstrated experience in automated testing.
• Demonstrated experience in deployment of infrastructure or configurations.
• Demonstrated experience in using Cloud resources such as AWS or Azure.
• Demonstrated experience in distributed computation.
• Demonstrated experience in creating parallel processing operations by managing the number of processors used in an operation given memory limitations.
• Demonstrated experience in automating data preparation methods.
• Demonstrated experience in creating a CLI for turnkey operation from a non-technical user.
• Demonstrated experience in designing, implementing, and leveraging APIs.
• Proficiency in programming with Python.
• Proficiency in using data analytic Python packages including Scikit Learn and Pandas.
• Demonstrated experience in using issue management software such as Jira.
• Demonstrated experience in using documentation and collaboration software such as Confluence.

Nice To Haves

• Using Machine learning approaches working with both labeled (supervised approach) and unlabeled (unsupervised approach) data.
• Working on team managed using an Agile development process.
• Development of new analytic systems.
• Handling encrypted data or working with encrypted systems.
• Creating, drafting, and reviewing technical program documentation.

Responsibilities

• Design, build, and refine extract, transform, and load (ETL) services that power identity data management.
• Deliver validated analytic models.
• Deliver production-ready data services that strengthen how identity data is integrated, transformed, and trusted across complex environments.
• Participate in data modeling project teams.
• Translate business needs into actionable technical requirements.
• Identify, analyze, and implement scalable solutions for optimizing operational efficiency of production systems and processes.
• Conduct advanced modeling and data analysis.
• Apply varied mathematical, statistical, and data analytics techniques.
• Develop models in support of geographic analysis.
• Use the scientific method such as setting up hypotheses, testing them through experimentation, evaluating results.
• Tie testing to quantitative metrics.
• Gather and analyze requirements.
• Manage configurations.
• Measure and report performance metrics.
• Develop custom database scripts, queries, and graphical interfaces.
• Design and optimize logical data architectures.
• Conduct data extraction, parsing, manipulation, and storage.
• Clean labeled data in preparation for use in machine learning and statistical approaches.
• Design, build, and deploy production-ready data pipelines incorporating SQL and NoSQL backends.
• Build and maintain CI/CD pipelines with source control software.
• Automate testing.
• Deploy infrastructure or configurations.
• Create parallel processing operations by managing the number of processors used in an operation given memory limitations.
• Automate data preparation methods.
• Create a CLI for turnkey operation from a non-technical user.
• Design, implement, and leverage APIs.
• Program with Python.

Benefits

• Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
• Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
• Dedicated Training Budget: Supporting continuous learning and professional development.
• 100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
• 100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
• 401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
• 11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
• Spot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees