Software Data Engineer

Booz Allen Hamilton•Honolulu, HI

1d•$77,600 - $176,000•Onsite

About The Position

Booz Allen is hiring a Data Engineer to build advanced technology solutions and implement data engineering activities on mission-driven projects. The role involves developing and deploying pipelines and platforms that organize disparate data and make it useful for missions such as fraud detection, cancer research, and national intelligence. The position focuses on deepening expertise in Databricks, Maven Smart System (MSS), and Foundry and modernizing data ecosystems across the Department of Defense. It is located in Honolulu, Hawaii and is not listed as remote. Applicants must have a Secret clearance and a bachelor's degree. The role requires experience building Databricks data pipelines, integrating and transforming data in Palantir Foundry or MSS, designing and maintaining ETL and ELT pipelines across distributed compute platforms, and working with data analysis, visualization, management, governance, strategy, and engineering. The engineer will collaborate with cross-functional teams. Booz Allen offers health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. The projected annual salary range is $77,600 to $176,000. Full-time and part-time employees who regularly work at least 20 hours per week may participate in benefit programs, subject to the stated eligibility conditions.

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 within 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 and make it meaningful.
Implement data engineering activities on mission-driven projects.
Integrate and transform data within Palantir Foundry or Maven Smart System environments.
Design and maintain ETL and ELT pipelines across distributed compute platforms.
Analyze and manage data, including data visualization, management, governance, strategy, and engineering.
Create solutions in a collaborative, cross-functional team environment.