Data Engineer, Senior
Pubblicato il 11-08-2026 - Booz Allen Hamilton in Napoli
Data Engineer, Senior The Opportunity: Ever-expanding technology like Io T, 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:5+ years of experience in application development
5+ years of experience designing, developing,
operationalizing, and maintaining complex data applications at enterprise scale 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data 3+ years of experience building scalable ETL/ELT workflows for reporting and analytics Experience creating solutions within a collaborative, cross-functional team environment Ability to develop scripts and programs for converting various types of data into usable formats, and support project team to scale, monitor, and operate data platforms Secret clearance Bachelor's degree
Nice If You Have: Experience creating data-related training curriculum for a large organization Experience with Python, SQL, Scala, or Java Experience with UNIX or Linux, including basic commands and Shell scripting Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience working on real-time data and streaming applications
Experience with No SQL implementation, including Mongo DB or Cassandra Experience with data warehousing using AWS Redshift, My SQL, or Snowflake