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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Booz Allen Hamilton Inc. - **Location:** Fort Meade, MD, United States - **Experience:** Experienced - **Salary:** $77,600.0 - $176,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Information Engineering, Data Files, Data Governance, Extract Transform Load (ETL), Data Normalization, Data Visualization, Distributed Data Store, Fraud Prevention and Detection, Apache Hadoop, Apache Hive, Machine Learning, Data Streaming, Unstructured Data, Data Processing, Cloud Platform System, Apache Spark, Data Lineage, Apache Kafka, Machine Learning Operations, Data Pipelines, Databricks - **Published:** August 1, 2026 - **Apply:** https://justjobs.com/main/sendform/8/8/28176/1/17248173?backUrl=%2Fcareer%2F17248173%2FData-Engineer-Maryland-Fort-Meade ## About the Role * 6+ years of experience as a data engineer * Experience designing, implementing, and maintaining scalable data pipelines for structured and unstructured data * Experience preparing validated, normalized, and secure datasets for AI/ML model development * Experience implementing data governance practices, including access control, lineage tracking, and dataset documentation * Experience developing dashboards and metrics for data and pipeline monitoring * Experience building automated ETL workflows and CI/CD pipelines for data processes * Experience optimizing data workflows across onprem, cloud, or hybrid environments * Ability to monitor and improve pipeline performance in coordination with operations teams * TS/SCI clearance with a polygraph * HS diplomaor GED and 6+ years of experience with data normalization and data pipelines, or Bachelor's degree and 4+ years of experience with data normalization and data pipelines Nice If You Have: * 10+ years of experience as a data engineer * Experience with distributed data and compute tools, such as Spark, Databricks, Hadoop, Hive, or Kafka * Experience with cloud environments, such as AWS or Azure * Experience developing realtime or streaming data applications * Experience evaluating emerging technologies for data processing or AI/ML workflows * Experience working in environments with security, compliance, or ISSE oversight * Experience developing or supporting visualization tools and frameworks * Experience supporting AI/ML model development pipelines * Bachelor's degree ## 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 an experienced 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 expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You'll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. In this role, you'll collaborate closely with AI Model Engineers, Network and Cloud Architects, the ISSE, and other technical leaders to guide the development of scalable, missionaligned data pipelines. You'll apply your expertise in data engineering, exploratory analysis, and feature development to shape how datasets are assessed, designed, transformed, and maintained for AI/ML workloads. While supporting a crossfunctional technical environment, you'll help ensure highquality, wellgoverned data flows that enable reliable model performance across operational, research, and enterprise systems. ## 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) - [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) - [Introduction to TXT](https://www.wearedevelopers.com/videos/30-introduction-to-txt) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)