Data Engineer

Booz Allen Hamilton•Tampa, FL

2d•$61,900 - $141,000•Onsite

About The Position

As a Data Engineer at Booz Allen, you will help clients find insights in structured and unstructured data gathered from disparate sources, supporting mission-driven projects such as fraud detection, cancer research, and national intelligence. You will build advanced technology solutions and carry out data engineering activities, developing and deploying pipelines and platforms that organize data and make it meaningful. You will work with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. The role includes analytical exploration and data examination, as well as supporting the assessment, design, development, and maintenance of scalable platforms for clients. The position is located in Tampa, Florida, and is not listed as remote.

Requirements

At least 2 years of experience using programming languages such as C++, Java, or Python.
At least 2 years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis.
Experience creating software for retrieving, parsing, and processing structured and unstructured data.
Experience building and maintaining APIs; experience with Maven Foundry, Neo4j, graph databases, and Microsoft Power Apps AI-assisted and agentic coding is listed.
Experience developing scalable ETL/ELT workflows for reporting and analytics.
Experience creating solutions within a collaborative, cross-functional team environment.
Ability to develop scripts and programs to convert various types of data into usable formats and support project teams in scaling, monitoring, and operating data platforms.
Active TS/SCI clearance is required.
Bachelor’s degree.

Nice To Haves

Experience in application development using SQL or Scala.
Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud.
Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
Experience working on real-time data and streaming applications.
Experience with NoSQL implementation using MongoDB or Cassandra.
Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake.
Experience with UNIX/Linux, including basic commands and shell scripting.
Experience with Agile engineering practices.

Responsibilities

Develop and deploy data pipelines and platforms that organize data from disparate sources.
Build and maintain scalable data stores that supply big data in forms needed for business analysis.
Create software to retrieve, parse, and process structured and unstructured data.
Build and maintain APIs.
Develop scalable ETL/ELT workflows for reporting and analytics.
Create solutions in a collaborative, cross-functional team environment.
Develop scripts and programs to convert different types of data into usable formats.
Support project teams in scaling, monitoring, and operating data platforms.
Support assessment, design, development, and maintenance of scalable client platforms.