Data Engineer, Senior

Data Engineer, Senior

The Opportunity: 

As a Data Management Engineer, you will apply data engineering best practices to support the collection, processing, and storage of Publicly Available Information (PAI) and other datasets. You will develop and maintain data pipelines to extract, transform, and load (ETL) structured and unstructured data, ensuring compliance with data security, regulatory, and quality standards. Your role will involve cleaning, organizing, integrating, and maintaining data models and visualizations to enhance operational analysis and decision-making. 

You will collaborate with stakeholders, including military personnel, partner nations, and policymakers, to identify and address data-related needs. By conducting large-scale data queries and synthesizing results, you will provide actionable insights that support mission objectives. Leveraging programming and scripting tools such as Java, Python, or R, you will automate data processes and design scalable data models, schemas, and structures to optimize performance. Your expertise will ensure adherence to U.S. Intelligence Community (IC) and Department of Defense (DoD) guidelines and security measures when handling both classified and unclassified data. 

Additionally, you will develop and deliver reports, dashboards, and briefings for the client and other stakeholders while participating in U.S. and foreign partner meetings and committees as a subject matter expert in data analysis and PAI. You will also support the testing and evaluation of analytical tools and software, operating within a managed attribution system as required for mission activities. 

Join us. The world can’t wait. 

You Have:   

• 5+ years of experience with data engineering or in a data science environment, including supporting large data, multi-INT analytics, NLP, machine learning (ML), and automated analytics 
• Experience with Java and Python
• Experience using Databricks and Spark for data processing 
• Experience designing custom tools and using scripting or programming languages to optimize data mining, cleaning, validation, and analysis workflows 
• Experience working collaboratively with the U.S. IC and DoD Joint structure 
• Knowledge of geo-enabled datasets and their application in mission contexts
• Knowledge of automation, artificial intelligence (AI), and ML tools and techniques 
• Ability to manage multiple projects under tight deadlines 
• TS/SCI clearance 
• Bachelor's degree

Nice If You Have:   

• Experience building or supporting cloud-based data solutions in secure environments 
• Experience applying AI and ML to intelligence problems 
• Experience integrating structured and unstructured data via APIs or other ingestion methods 
• Experience with Defense Intelligence Enterprise data tools and platforms 
• Experience supporting intelligence analysis or data analysis related to African political, security, or socio-economic issues
• Experience working with cross-functional teams and engaging mission stakeholders 
• Experience developing or maintaining data governance, QA, or metadata strategies in operational environments 
• Knowledge of IC data standards, oversight policies, and messaging formats, including ICD-501, ICD-203, or ICD-206
• Ability to design and implement custom data solutions or analytics pipelines for large mission-specific datasets  
• Bachelor's degree in Mathematics, Statistics, Engineering, or Data Science preferred; Master’s degree in Mathematics, Statistics, Engineering, Data Science, or a related field a plus

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the thres