Data Engineer

Booz Allen Hamilton is seeking a Data Engineer to support advanced technology initiatives and solve complex data challenges for a high-impact client program. The role focuses on designing, building, and optimizing scalable data pipelines using Databricks, PySpark, and SQL, while contributing to AI integration, DataOps, and MLOps capabilities.

Responsibilities

• Design, build, and optimize the pipelines that turn raw data into meaningful outcomes for a high-impact Fortune 500 client program
• Leverage Databricks, PySpark, and SQL to scale our data platforms
• Collaborate within a robust, 70+ person cross-functional ecosystem spanning Data Engineering, AI/Data Science, Governance, and Reporting
• Play a key role in integrating new AI technologies and expanding our DataOps and MLOps capabilities
• Building scalable ETL and ELT workflows for analytics and reporting
• Develop real-time low-latency streaming pipelines utilizing Spark Structured Streaming
• Delivering solutions in a collaborative, cross-functional team environment

Preferred

• Experience with Databricks
• 2+ years of experience utilizing programming languages, including C++ or Java
• 2+ years of experience with programming languages such as C, Java, or Python
• 2+ years of experience working in an Agile development environment
• Experience with AI integration, ML workflows, or expanding MLOps capabilities
• Knowledge of key components including Unity Catalog, workflows, notebooks, medallion data architecture, and Delta Lake
• Ability to learn technical concepts quickly and communicate effectively across functional teams
• Ability to own tasks from start to finish with a solution-oriented mindset
• Bachelor's degree in Computer Science or Computer Engineering
• C++
• Java
• C
• Agile Development
• AI Integration
• Machine Learning Workflows
• MLOps
• Unity Catalog
• Databricks Workflows
• Notebooks
• Medallion Data Architecture
• Delta Lake
• Computer Science Degree
• Computer Engineering Degree
• Rapid Learning
• Effective Communication
• Cross-Functional Collaboration
• Task Ownership
• Solution-Oriented Mindset

Benefits

• Health benefits
• Life benefits
• Disability benefits
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program for exceptional performance and superior demonstration of our values

Company

• Advanced technology consulting for civil, defense, and national security missions
• Mclean, Virginia, USA
• http://www.boozallen.com/
• Founded in 1914
• 10001+ employees

Qualifications

• U.S. citizenship is required
• 3+ years of experience building scalable ETL and ELT workflows for analytics and reporting
• 3+ years of experience with Python and SQL
• 3+ years of experience with big data technologies, including Databricks and distributed processing frameworks such as Spark
• 2+ years of experience with cloud data technologies and architecture
• Experience utilizing Spark Structured Streaming to develop real-time low-latency streaming pipelines
• Experience delivering solutions in a collaborative, cross-functional team environment
• Bachelor's degree
• Experience with Databricks
• 2+ years of experience utilizing programming languages, including C++ or Java
• 2+ years of experience with programming languages such as C, Java, or Python
• 2+ years of experience working in an Agile development environment
• Experience with AI integration, ML workflows, or expanding MLOps capabilities
• Knowledge of key components including Unity Catalog, workflows, notebooks, medallion data architecture, and Delta Lake
• Ability to learn technical concepts quickly and communicate effectively across functional teams
• Ability to own tasks from start to finish with a solution-oriented mindset
• Bachelor's degree in Computer Science or Computer Engineering

Required skills

• Python, SQL, Databricks, Apache Spark, ETL/ELT Workflows, Cloud Data Architecture, Spark Structured Streaming, DataOps, MLOps, Delta Lake, Medallion Data Architecture, Agile Development

Preferred skills

• Experience with Databricks

Experience

• 3+ years