Data Engineer

Booz Allen Hamilton•Honolulu, HI

3d•Onsite

About The Position

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence. As a Data Engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. If you're ready to deepen your expertise in Databricks, Maven Smart System (MSS), and Foundry, contribute to modernizing data ecosystems across the DoD, and work on meaningful national security missions, there’s a place for you at Booz Allen. This position is located in Honolulu, HI. Work with us to use data for good. Join us. The world can’t wait.

Requirements

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/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 advanced technology solutions and implement data engineering activities.
Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Deepen expertise in Databricks, Maven Smart System (MSS), and Foundry.
Contribute to modernizing data ecosystems across the DoD.
Work on meaningful national security missions.