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# Data Scientist

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Washington, United States
- **Salary:** $77,600.0 - $176,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), BigQuery, C++ (Programming Language), Information Engineering, Data Stores, Distributed Data Store, Apache Hadoop, Apache Hive, Python (Programming Language), Apache Maven, Node.Js, Standard Sql, Software Engineering, TypeScript, Scripting, Snowflake, Apache Spark, Cloudformation, SC Clearance, Containerization, Kubernetes, Real Time Data, Apache Kafka, Data Management, Terraform, Devsecops, Amazon Elastic Mapreduce (EMR), Docker, Amazon Redshift, Databricks, Programming Languages
- **Published:** August 11, 2026
- **Apply:** https://www.dice.com/job-detail/d01276cb-b75b-4367-a53b-d1ae1db1b7ad

## About the Role

* 2+ years of experience utilizing programming languages, including C++, Java, JavaScript, TypeScript, or Python
 * 2+ years of experience developing and maintaining scalable data stores that supply data in forms needed for business analysis
 * Experience creating solutions within a collaborative, cross-functional team
 * Experience developing scripts and programs for converting various types of data into usable formats, and supporting the project team to scale, monitor, and operate data platforms
 * Secret clearance
 * Bachelor's degree and 1+ years of experience with data engineering, including application or sof t war e development in a professional environment, or 3+ years of experience with data engineering, including application or sof t war e development in a professional environment, in lieu of a degree

Nice If You Have:

 * Experience in application development utilizing SQL
 * Experience with Palantir Foundry
 * Experience working with Maven Smart Systems
 * Experience working with Node.js and languages that transpile to JavaScript
 * Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
 * Experience working on real-time data and streaming applications
 * Experience with data war ehousing, including AWS Redshift, BigQuery, or Snowflake
 * Experience with advanced automation of sof t war e delivery, including Infrastructure as Code such as Terraform or AWS CloudFormation, containerization such as Docker, and orchestration such as Kubernetes or EKS, aligned to DevSecOps practices



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