Associate Software Engineer

Software Engineer, Data Engineering

Make an Impact Where It Matters Most

At Intelliforce, our engineers build software that turns complex data into mission value. In this role, you will help create consistent, repeatable capabilities that transform raw, messy, and often unstructured data into clean, reliable, analysis-ready datasets. Your work will support advanced analytics, predictive modeling, and data-driven decisions across the organization. This is a strong fit for an engineer who enjoys Python development, data processing, and building software that makes downstream analysis faster, smarter, and more reliable.

What Makes This Opportunity Stand Out

This role sits at the intersection of software engineering and data engineering. You will work on systems that do more than move data from one place to another. They improve data quality, create repeatable workflows, and help teams make better decisions with confidence. The work blends software development, data wrangling, validation, and workflow orchestration, so you get a mix of practical engineering and real mission impact.

At Intelliforce, your work is visible and your contributions matter. Because we support prime programs, our teams stay close to meaningful mission work with real momentum. Because we are a small business, leadership is accessible, communication is direct, and strong engineering gets noticed. Add in long-term stability, strong benefits, and a people-first culture, and this becomes more than another software role. It is a chance to build data capabilities people will rely on every day.

Here’s What Your Day-to-Day Could Include

• Build software that transforms raw, complex, and unstructured data into clean, high-quality, analysis-ready datasets
• Develop repeatable data processing capabilities that support analytics, predictive modeling, and decision-making
• Use Python to automate data handling, preprocessing, and transformation workflows
• Work with structured, semi-structured, and unstructured data across a range of mission use cases
• Support distributed data processing using tools such as Apache Spark
• Use Jupyter Notebook, pandas, and NumPy to explore, validate, and prepare data
• Improve data quality through validation, anomaly detection, and repeatable engineering practices
• Collaborate with teammates to build reliable, scalable workflows and document solutions clearly

Minimum Qualifications

• Clearance: Top Secret Clearance with Full Scope Polygraph, must be active. We do not have the ability to sponsor clearances
• Citizenship: Must be a U.S. Citizen. We cannot sponsor visas
• Master’s degree in computer science or related discipline from an accredited college or university, plus three years of experience as a Software Engineer in programs and contracts of similar scope, type, and complexity
• Or bachelor’s degree in computer science or related discipline from an accredited college or university, plus five years of experience as a Software Engineer in programs and contracts of similar scope, type, and complexity
• Or seven years of experience as a Software Engineer in programs and contracts of similar scope, type, and complexity

Required Skills

• Experience using the Linux CLI and Linux tools
• Experience developing Bash scripts to automate manual processes
• Recent software development experience using Python
• Familiarity with distributed big data processing engines including Apache Spark
• Experience using Jupyter Notebook
• Experience with data wrangling and preprocessing tools such as pandas and NumPy
• Experience working with structured, semi-structured, and unstructured data
• Familiarity with data quality concepts, data validation, and anomaly detection
• Experience with Git source control system

Desired Skills