Software Engineer, Data Analytics & UI Modernization - Cleared

Make an Impact Where It Matters Most

At Intelliforce, we build mission-focused solutions where engineering excellence directly supports national security outcomes. In this role, you will help modernize and extend a critical data analytics user interface, transforming a prototype into a production-ready capability. You will work alongside mission partners to enhance how data is explored, visualized, and delivered, ensuring analysts have intuitive, reliable tools that scale beyond the enterprise.

This position sits squarely within Intelliforce’s core strengths in software engineering, data analytics, and mission delivery.

Location:

OPS 1

Schedule:

Onsite
Telework:
Not Available
Clearance:
Active Top Secret Clearance with Full Scope Polygraph required

You will enhance and mature a Streamlit-based UI prototype into a robust, scalable interface with a forward path to external availability. You will design and implement new features, refine existing workflows, and ensure performance, usability, and data integrity. Your work will include developing front-end components, integrating back-end services, handling diverse data formats, and collaborating with engineers and stakeholders to translate requirements into clean, functional solutions.

You will also contribute to testing, documentation, and continuous improvement of the platform.

Clearance:
Active Top Secret Clearance with Full Scope Polygraph required
Citizenship:
Must be a U.S. Citizen

Bachelor’s degree in Computer Science or a related technical discipline with seven years of software engineering experience supporting programs of similar scope, type, and complexity, or a Master’s degree with five years of experience, or nine years of relevant experience in lieu of a degree.

You bring strong experience developing software in Linux environments, including use of the Linux command line and Bash scripting to automate manual processes. You have recent hands-on experience with Python and Java, and familiarity building interactive applications using Streamlit. You are comfortable developing front-end applications using Type Script, HTML, and CSS, and have experience with modern JavaScript frameworks such as React, Angular, or Vue.

You have worked with distributed data processing engines like Apache Spark, use Jupyter Notebooks effectively, and perform data wrangling with tools such as pandas and Num Py. You are experienced working with structured, semi-structured, and unstructured data formats including Parquet, JSON, CSV, and XML, and understand data quality, validation, and anomaly detection concepts. You use Git for source control and collaborative development.

Experience orchestrating workflows with Apache Airflow, including DAG design and scheduling. Experience querying and aggregating data using SQL technologies such as MySQL, Maria

DB, or Postgre

SQL. Familiarity with HPC job scheduling tools such as Slurm. Experience using the Atlassian tool suite, including Jira and Confluence.

This role operates across Python and Java development, Streamlit for UI construction, Type Script, HTML, CSS, and modern JavaScript frameworks such as React, Angular, or Vue. The environment includes Apache Spark for distributed processing, Jupyter Notebooks for analysis, pandas and Num Py for data preparation, Git for source control, Linux-based systems, and supporting technologies such as SQL databases, Airflow, and HPC scheduling tools.

Compensation Range: $ - $

* The salary range provided reflects an estimate based on current market trends and may be adjusted based on factors such as the candidate's experience, skills, and qualifications. The final offer will be tailored after a thorough evaluation of the candidate’s background and suitability for the role. Please note that this range is intended as a guideline and is subject to flexibility.

Why Intelliforce? Because you matter—your work, your growth, and your well-being.

At Intelliforce, we don’t just push the boundaries of technology—we partner with some of the most…