> Markdown version of [/jobs/ext/2243478-data-engineer-socom](https://www.wearedevelopers.com/jobs/ext/2243478-data-engineer-socom). 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 Engineer - SOCOM - **Company:** Agile Defense - **Location:** Tampa, FL, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing Security, Continuous Delivery, Data as a Services, Data Validation, Data Visualization, Distributed Data Store, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Cloud Platform System, Feature Engineering, Apache Spark, Pyspark, Scikit Learn, Xgboost, Machine Learning Operations, Api Design, Data Pipelines, Databricks - **Published:** August 26, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88146955/1 ## About the Role This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred. Education and Background A bachelor's degree plus 3 years of recent specialized experience,OR,an associate's degree plus 7 years of recent specialized experience,OR,a major certification plus 7 years of recent specialized experience,OR,11 years of recent specialized experience Years of Experience 3 years Required Skills Experience with data visualization and storytelling using tools such as Palantir's MSS Workshop and Slate applications Preferred Skills * 4+ years of experience in applied data science, Palantir Foundry development, or data pipeline development. Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark). * Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost). * Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry). * Strong understanding of data validation, model testing, and performance evaluation techniques. Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences. Working Conditions Must be able to work in a SCIF for 8 hours per day ## Description You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools., * Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. * Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated. * Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support. * Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task. * Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges. * Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [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) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)