Software Developer - Full Stack (Systems Software)

Ardent Principles, Inc.

10h•Onsite

About The Position

We are looking for a Software Developer with Full Stack experience to join a high-performing, collaborative group tackling some of the most complex data engineering and application development challenges in the intelligence community. Our team works across the full stack — data pipelines, cloud infrastructure, web applications, and analytics tools — and every member plays a critical role. Ardent Principles offers advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management. The company is committed to excellence, integrity, and mission-focused impact, aiming to bridge satisfied clients and fulfilled employees by prioritizing job satisfaction and well-being.

Requirements

Active TS/SCI with Full Scope Polygraph.
Recent professional experience engaging directly with data-related issues, including data quality and data curation activities.
Experience with collaboration tools and technologies such as Confluence, wikis, or similar.
Experience ensuring data provenance, pedigree, and lineage for data sharing rules.
Experience describing and characterizing datasets for knowledge management purposes.
Professional experience with cloud services and tools, such as Databricks and EMR.
Understanding of SQL database structures and mapping them between different SQL databases.
Professional experience working with Nifi, and Extract-Transform-Load processes.
Experience creating operating system level scripts to perform ETL operations on SQL databases.
Professional experience with version control systems, preferably Git.
Experience testing the development of software solutions for the extraction, transacting, and loading of data using the most efficient languages for the task, e.g. Nifi, Python, and SQL.
Professional experience in the development, customization, and use of developing applications for intelligence analysis.
Professional experience using Python, JavaScript, and PostgreSQL stack.
Experience with CSS, HTML, or web based development.
Experience using Git for versioning.
Experience developing algorithms to support graph theory-based methods.
Professional experience using containerization such as Docker or developing and deploying containerized applications and databases.
Experience working with user-centered design principles and practices, web standards, typography and color, and web usability standards.
Ability to communicate technical issues in clear written and oral formats.
Experience tracking projects, plans, and action items through completion.
Experience translating business needs to skilled technology officers for future system requirement development.
Professional experience in Computer Science, Computer Engineering, Systems Engineering, or closely related discipline.

Nice To Haves

On-the-job experience with datasets and data collections.
Familiarity with data environment and analytic workflow processes.
Supporting project managers, subject matter experts, and the client by planning projects, developing contingencies, and producing schedules.
Strong coordination and collaboration skills with ability to work successfully across organizational boundaries.
Customer service including working and communicating across various levels (peers, technical and mission partners, management, and executive level customers).
Capturing meeting notes with all levels of personnel.
Organizing and structuring solutions to complex problems.
Full Stack Development in the cloud environment.

Responsibilities

Engaging directly with data-related issues, including data quality and data curation activities.
Ensuring data provenance, pedigree, and lineage for data sharing rules.
Describing and characterizing datasets for knowledge management purposes.
Creating operating system level scripts to perform ETL operations on SQL databases.
Testing the development of software solutions for the extraction, transacting, and loading of data using efficient languages for the task, e.g. Nifi, Python, and SQL.
Developing, customizing, and using applications for intelligence analysis.
Developing algorithms to support graph theory-based methods.
Developing and deploying containerized applications and databases.
Communicating technical issues in clear written and oral formats.
Tracking projects, plans, and action items through completion.
Translating business needs to skilled technology officers for future system requirement development.