> Markdown version of [/jobs/ext/3401477-unity-3d-engineer-senior](https://www.wearedevelopers.com/jobs/ext/3401477-unity-3d-engineer-senior). 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). --- # Unity 3D Engineer, Senior - **Company:** Booz Allen Hamilton Inc. - **Location:** Arlington, VA, United States - **Experience:** Expert - **Salary:** $77,600.0 - $176,000.0 - **Contract:** Permanent contract - **Skills:** Unity 3d, Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Microsoft Azure, C Sharp (Programming Language), Data Warehousing, Distributed Computing Environment, Elasticsearch, Fraud Prevention and Detection, Video Game Development, Game Engine, Python (Programming Language), Machine Learning, Software Tools, Cloud Services, Unstructured Data, Reinforcement Learning, Google Cloud, Apache Spark, SC Clearance, Containerization, Kubernetes, Machine Learning Operations, Api Gateway, Docker, Databricks - **Published:** September 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f8a748dc10132d3d ## About the Role * 4+ years of experience working in 3D game engine development in Unity, sof tware engineering, data science, or ML engineering in a professional or academic environment * Experience with C# coding and building custom game engine logic workflows in Unity 3D * Experience deploying Unity 3D into a production cloud or on-premises environment * Ability to leverage geospatial libraries for advanced mapping and location-based features within Unity * Ability to implement connection with various external services and ensure seamless interaction within the Unity application * Ability to obtain a Secret clearance * Bachelor's degree Nice If You Have: * 2+ years of experience with developing ML models, including supervised, unsupervised, or reinforcement learning * Experience with containerization, including Docker or Kubernetes * Experience with MLOps, GitOps, and string programming in Python or Java * Experience with designing, developing, deploying, and testing in AWS and using tools, including Lambda, API Gateway, or S3 * Experience with distributed computing frameworks, including Spark, RAPIDS, Ray, or Polars * Experience with data engineering tools, including Databricks, Spark, Elasticsearch, Airflow, or a data warehouse * Experience with Cloud services, including Azure or Google Cloud * Possession of excellent verbal and written communication skills ## Description Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning ( ML ) , and artifi cia l intelligence ( AI ) advances? In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, you know the answers are in the data.