> Markdown version of [/jobs/ext/2163934-data-science-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2163934-data-science-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science AI Engineer - **Company:** Integral Federal - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Governance, Extract Transform Load (ETL), Data Mining, Relational Databases, Machine Learning, Oracle (Applications), SQL Databases, Data Processing, Enterprise Software Applications, Information Technology, Data Management, Tools for Reporting, Data Pipelines - **Published:** August 21, 2026 - **Apply:** https://jobs.military.com/career/314508/data-science-ai-engineer-virginia-va-tysons ## About the Role * Bachelor's Degree in computer science or IT related degree with 7-10 years' experience\n * Demonstrated performance with Oracle/SQL; relational/non-relational data; APIs; ETL/ELT; data models/dictionaries; migration architecture; reconciliation\n * Experience performing statistical analysis, anomaly detection, predictive modeling, and data mining. \n * Experience building analytic/data pipelines (ETL/ELT), data baselines, and scalable data processing systems. \n * Experience developing BI solutions, dashboards, and datadriven decisionsupport models. \n * Experience supporting data governance, quality analysis, and compliance requirements. \n * Experience integrating AI/ML models into enterprise applications, reporting platforms, or operational workflows.\n * Ability to create clear visualizations, reports, dashboards, and storytellingdriven analytic outputs.\n * Understanding of data governance, privacy, data stewardship, retention requirements, and authoritative data practices.\n * Public Trust\n ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)