Software Data Engineer

Booz Allen Hamilton • Honolulu, HI

1d • $77,600 - $176,000

About The Position

As a Data Engineer at Booz Allen, you will help build advanced technology solutions and implement data engineering activities on mission-driven projects. You will develop and deploy pipelines and platforms that organize disparate data and make it meaningful, contributing to data ecosystems and national security-related missions. The role focuses on Databricks, Maven Smart System (MSS), and Palantir Foundry, and is located in Honolulu, Hawaii.

Requirements

• At least 2 years of experience building data pipelines in Databricks, including PySpark, Delta Live Tables, or Unity Catalog.
• Experience integrating and transforming data within Palantir Foundry or Maven Smart System (MSS) environments.
• Experience designing and maintaining ETL and ELT pipelines across distributed compute platforms.
• Experience analyzing and managing data, including data visualization, data management, data governance, data strategy, and data engineering.
• Experience creating solutions in a collaborative, cross-functional team environment.
• Secret clearance.
• Bachelor's degree.

Nice To Haves

• Experience with the Department of War (DoW).
• Experience migrating legacy ETL logic into modern cloud platforms, including Databricks, Foundry, or Fabric.
• Experience building business analytic visualizations.
• Experience working on Agile teams.
• Experience with process improvement approaches and methodologies.
• Ability to synthesize results and deliver presentations to product owners or stakeholders.
• Ability to learn quickly and adapt to changing organizational processes.
• Top Secret clearance.
• Databricks or Foundry Use Case Engineer Certification.

Responsibilities

• Build and deploy data pipelines and platforms that organize disparate data.
• Develop and implement data engineering solutions on mission-driven projects.
• Integrate and transform data within Palantir Foundry or Maven Smart System (MSS) environments.
• Design and maintain ETL and ELT pipelines across distributed compute platforms.
• Analyze and manage data, including data visualization, data management, data governance, data strategy, and data engineering.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level