Data Engineer
Pubblicato il 17-08-2026 - Booz Allen Hamilton in Italia
Data EngineerThe 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—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.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 scalable platforms for your clients.Work with us to use data for good.Join us. The world can't wait.You Have:2+ years of experience utilizing programming and querying languages, including Python, R, Scala, or SQL2+ years of experiencedeveloping and maintaining data applications for reporting and analyticsExperience creating workflows for retrieving, parsing, and processing structured and unstructured dataExperience creating solutions within a collaborative, cross-functional team environmentSecret clearance Bachelor's degree in a computer science, data science, mathematics, or technology fieldActive passport with at least 6 months validity for the purposes of visa applicationsNice If You Have:Experience with Palantir tools, such as Foundry or GaiaExperience with Advana or other DoD data analytics systemsExperience with distributed data or computing tools including Spark, Databricks, Hadoop, Hive