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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Booz Allen Hamilton Inc. - **Location:** Dayton, OH, United States - **Experience:** Expert - **Salary:** $61,900.0 - $141,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Business Analytics Applications, C++ (Programming Language), Cloud Engineering, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mart, Data Warehousing, Relational Databases, Fraud Prevention and Detection, Github, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Machine Learning, NoSQL, Operational Data Store, Cloud Services, Rust (Programming Language), Cloud Platform System, Large Language Models, State Machines, Servicebus, Data Lakes, Information Technology, Data Analytics, Api Design, Software Version Control, Data Pipelines, Programming Languages - **Published:** August 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5c2bc52d80e497b8 ## About the Role * 5+ years of experience with data architecture, design, or engineering projects * Experience with cloud migration and modernization efforts and creating automated Extract, Transform, Load (ETL) processes to move data from unstructured source data to application governed storage * Experience with the data pipelines, including data acquisition, data prep, database architecture, data governance, and data tagging * Experience with non-relational NoSQL, semi-relational databases, and relational SQL databases * Experience with implementing monitoring tools to maintain data integrity, fix broken pipelines, and handle missing or corrupt information and designing scalable data lake, warehouse, and analytics solutions * Experience integrating AI/ML capabilities into production workflows or operator tooling, such as LLM enabled assistants, model augmented decision aids, or automation solutions * Knowledge of AWS services, such as S3, IAM, EventBridge, Step Functions, or Lambda * Ability to work both within a team and independently to manage tasks with minimal supervision * TS/SCI clearance * Bachelor's degree in Computer Science or technical discipline Nice If You Have: * Experience evaluating data analytic or science technologies and platforms * Experience designing cloud-native data platforms in AWS * Experience with Cloud Architecture and evaluating and selecting cloud analytics architectures * Experience with Data Marts and Data Warehouses and creating, managing, and troubleshooting complex operational data flows * Experience with ETL tools, such as dbt and Airflow * Experience with Source code management and integration such as GitHub * Experience with CI/CD practices * Experience with programming languages such as Python, Rust, C++, Java, etc. * Experience with API development * AWS architecture Certifications such as Solution Architect Certification ## Description Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you'll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients. ## 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) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)