Data Engineer
Pubblicato il 21-09-2026 - Booz Allen Hamilton in Napoli
Data Engineer The Opportunity:
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. As a data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and workflows that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of analytic solutions for your clients. Work with us to use data for good. The world can’t wait.
5+ years of experience in data engineering, application development, or data science
~3+ years of experience designing, developing, operationalizing, and maintaining data applications for reporting and analytics at enterprise-scale
~3+ years of experience utilizing programming and querying languages, including Python, R, Scala, or SQL
~ Experience creating workflows for retrieving, parsing, and processing structured and unstructured data
~ Experience creating solutions within a collaborative, cross-functional team environment
~ Secret clearance
~ Bachelor's degree in CS, Data Science, or Mathematics
~ Experience with Palantir tools such as Foundry or Gaia
Experience with Advana or other DoD data analytics systems
Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
Experience with data visualization or geospatial tools such as Tableau, Qlik, Power