Software Data Engineer

Booz Allen Hamilton • Honolulu, HI

6d

About The Position

As a Data Engineer at Booz Allen, you will build advanced technology solutions and implement data engineering activities on mission-driven projects. You will develop and deploy pipelines and platforms that organize data from disparate sources and make it meaningful, supporting missions such as fraud detection, cancer research, and national intelligence. The role focuses on deepening expertise in Databricks, Maven Smart System (MSS), and Foundry while helping modernize Department of Defense data ecosystems. The position is located in Honolulu, Hawaii.

Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information; an active Secret clearance is required. During the hiring process, candidates must complete identity verification using biometrics and AI and are expected to be on camera during interviews and assessments. Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted.

The projected annual compensation range is $77,600 to $176,000. Compensation depends on factors including location, education, skills, experience, and organizational and contract requirements. The posting is scheduled to close within 90 days of its posting date.

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.
• 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 data pipelines in Databricks, including with PySpark, Delta Live Tables, or Unity Catalog.
• 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.
• Develop and deploy pipelines and platforms that organize disparate data and make it meaningful.
• Create solutions in a collaborative, cross-functional team environment.

Benefits

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

What This Job Offers

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