University, Data Engineer
Listed on 2026-08-30
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IT/Tech
Data Engineering
University, Data Engineer
The 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 a data professional 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 use your skills to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll help develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you’ll learn from a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
You’ll grow your skills in analytical exploration and data examination while you support 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.
- Knowledge of basic application development utilizing programming languages, including C++, Java, or Python
- Knowledge of the development and maintenance of scalable data stores that supply big data in forms needed for business analysis
- Ability to create software for retrieving, parsing, and processing structured and unstructured data
- Ability to develop scalable ETL and ELT workflows for reporting and analytics
- 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
- Scheduled to obtain a Bachelor’s degree by Spring 2027
- Experience with public cloud platforms such as 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 No
SQL implementation such as MongoDB or Cassandra - Experience with data warehousing such as AWS Redshift, MySQL, or Snowflake
- Experience with UNIX and Linux, including basic commands and Shell scripting
- Experience with Agile engineering practices
- Knowledge of application development utilizing programming languages, including SQL or Scala
- Knowledge of data aggregation and ingestion tools or web scraping packages on platforms such as Stream Sets
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.
Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
The projected compensation range for this position is $48,000.00 to $98,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
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