Data Engineer, Senior

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

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. At Booz Allen you can use your skills and experience to support a mission and use data for good, helping to 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 for the 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 Computer Science, Data Science, or Mathematics.

• Experience with Palantir tools, such as Foundry or Gaia.
• Experience with large‑language models, including both applied and theoretical work.
• 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.

Salary is determined by factors including location, education, skills, and experience. The typical salary range for this position is $77,600.00 to $ (annualized USD). 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. We reserve the right to take your picture to verify your identity and prevent fraud.

Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.