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# Data Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Arlington, VA, United States
- **Experience:** Experienced
- **Salary:** $62,000.0 - $141,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Unix, Code Review, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Linux, Distributed Data Store, Fraud Prevention and Detection, Apache Hadoop, Apache Hive, Machine Learning, MongoDB, MySQL, NoSQL, Parsing, Scaled Agile Framework, Shell Script, Data Streaming, Unstructured Data, Google Cloud, Cloud Platform System, Snowflake, Apache Spark, Gitlab, SC Clearance, Data Lakes, Cassandra, Real Time Data, Apache Kafka, Data Management, Software Version Control, Amazon Elastic Mapreduce (EMR), Amazon Redshift, Databricks
- **Published:** June 25, 2026
- **Apply:** https://www.clearancejobs.com/jobs/8994487/data-engineer

## About the Role

* 5+ years of experience working in a professional environment
 * 3+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale
 * 3+ years of experience creating sof tware for retrieving, parsing, and processing structured and unstructured data
 * 3+ years of experience building scalable ETL or ELT workflows for reporting and analytics
 * Experience creating solutions within a collaborative, cross-functional team environment
 * Experience with Palantir Foundry
 * Experience with Databricks, including Delta Lake, Spark, notebooks, and workflows or jobs, and GitLab for version control, CI / CD pipelines, and code review workflows
 * 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 with UNIX or Linux, including basic commands and Shell scripting
 * Experience with a public cloud, including AWS, Micro sof t 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 NoSQL implementation, including MongoDB or Cassandra
 * Experience with data warehousing using AWS Redshift, MySQL, or Snowflake
 * Experience with Agile engineering practices
 * TS/SCI clearance with a polygraph

## Description

Ever-expanding technology like IoT, machine learning, and artifi cia l 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 experience d 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.


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