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Data Engineer

Booz Allen Hamilton•Virginia Beach, VA
•$77,500 - $176,000•Onsite

About The Position

As a Data Engineer at Booz Allen, you will implement data engineering activities on mission-driven projects by developing and deploying pipelines and workflows that organize disparate data and make it meaningful. You will work with and guide a multidisciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You will use analytical exploration and data examination to assess, design, build, and maintain analytic solutions for clients. The position is based in Virginia Beach, Virginia, and is not listed as remote.

Requirements

  • Experience utilizing programming and querying languages, including Python, R, Scala, or SQL.
  • Experience developing and maintaining data applications for reporting and analytics.
  • Experience creating software for retrieving, parsing, and processing structured and unstructured data.
  • Experience building scalable ETL or ELT workflows for reporting and analytics.
  • Experience creating solutions within a collaborative, cross-functional team environment.
  • Ability to obtain a Secret clearance.
  • High school diploma or GED.

Nice To Haves

  • Experience with Maven Smart Systems tools such as Foundry.
  • Experience with data visualization or geospatial tools such as Tableau, Qlik, Power BI, or ArcGIS.
  • Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud.
  • Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
  • Experience working within a Combatant Command or other DoD organization.
  • Experience with Agile engineering practices.
  • CompTIA Security+ certification.

Responsibilities

  • Develop and deploy data pipelines and workflows to organize disparate data and make it meaningful.
  • Guide and collaborate with analysts, data engineers, developers, and data consumers.
  • Assess, design, build, and maintain analytic solutions for clients.
  • Develop and maintain data applications for reporting and analytics.
  • Create software to retrieve, parse, and process structured and unstructured data.
  • Build scalable ETL or ELT workflows for reporting and analytics.

Benefits

  • Health, life, and disability benefits.
  • Financial and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards for exceptional performance and demonstration of company values.

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