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.
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Job Type
Full-time
Career Level
Entry Level
Number of Employees
1-10 employees