Booz Allen Hamilton-posted 3 months ago
$48,000 - $98,000/Yr
Full-time • Entry Level
Arlington, VA
5,001-10,000 employees
Professional, Scientific, and Technical Services

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.

  • Develop and deploy data pipelines and platforms.
  • Organize and make disparate data meaningful.
  • Support the assessment, design, building, and maintenance of scalable platforms.
  • Create software for retrieving, parsing, and processing structured and unstructured data.
  • Develop scalable ETL/ELT workflows for reporting and analytics.
  • Develop scripts and programs for converting various types of data into usable formats.
  • 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/ELT workflows for reporting and analytics.
  • Ability to develop scripts and programs for converting various types of data into usable formats.
  • Secret clearance.
  • Bachelor's degree.
  • 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 NoSQL implementations such as MongoDB or Cassandra.
  • Experience with data warehousing, such as AWS Redshift, MySQL, or Snowflake.
  • Experience with UNIX or 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 or ingestion tools or web scraping packages on platforms such as StreamSets.
  • Top Secret clearance.
  • Health, life, and disability insurance.
  • Financial and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards program.
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