Data Engineer, Senior

Data Engineer, Senior – Booz Allen Hamilton

Join to apply for the Data Engineer, Senior role at Booz Allen Hamilton.

Job Number: R0230727

As a data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good.

We need a data expert like you to bring your expertise to help support our nation's warfighters.

• Use your data analytics expertise to support client and stakeholder relationships.
• Research, develop, and test data methodologies, and generate cross‑functional solutions through analysis and visualization of large data sets.
• Contribute to impactful work and guide decision‑making across multiple organizations.
• Apply communication skills and data analytics expertise by simplifying technical requirements and trends, based on audience.
• Present data findings and recommendations to clients and stakeholders using your knowledge of databases, scripting languages and Microsoft Office Suite.
• Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
• Apply data visualization through different formats.
• Grow your communication and technical skills by creating data‑centric solutions across mission areas.

• 3+ years of experience in a data engineering, application development, or data science field
• 3+ years of experience with designing, developing, operationalizing, and maintaining data applications for reporting and analytics at enterprise scale
• 3+ years of experience with Python, SQL, Scala, or R
• 2+ years of experience with data visualization or geospatial tools, such as Tableau, Qlik, Power BI, or ArcGIS
• Experience working in IC or DOD environments
• Experience creating solutions within a collaborative, cross‑functional team environment
• TS/SCI clearance with a polygraph
• Bachelor's degree in a Computer Science, Data Science, or Mathematics field

• Experience with Palantir tools, such as Foundry or Gaia
• Experience with Large Language Models, including both applied and theoretical
• Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.

Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $ (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.

This posting will close within 90 days from the Posting Date.

As part of the application process, you are expected to be on camera during interviews and assessments.…