Data Engineer Jobs

$75,600 - $172,000/Yr

Booz Allen Hamilton - Jacksonville, NC

posted about 2 months ago

Part-time,Full-time - Mid Level
Jacksonville, NC
Professional, Scientific, and Technical Services

About the position

As a Data Engineer at Booz Allen, you will play a crucial role in managing and organizing vast amounts of structured and unstructured data, which is increasingly available due to advancements in technology such as IoT, machine learning, and artificial intelligence. Your expertise will be essential in helping clients derive meaningful insights from their data, impacting significant missions ranging from fraud detection to cancer research and national intelligence. You will be responsible for implementing data engineering activities on mission-driven projects, deploying and developing pipelines and platforms that make disparate data meaningful. In this role, you will collaborate with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, Agile environment. Your experience in analytical exploration and data examination will be vital as you manage the assessment, design, building, and maintenance of scalable platforms for clients. You will also develop scripts and programs to convert various types of data into usable formats, supporting project teams in scaling, monitoring, and operating data platforms effectively. This position requires a strong background in application development and data application management at an enterprise scale, as well as the ability to work collaboratively within a cross-functional team. Your contributions will be celebrated, and you will have access to a range of benefits that support your total well-being, including health, life, disability, financial, and retirement benefits, as well as professional development opportunities.

Responsibilities

  • Implement data engineering activities on mission-driven projects.
  • Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
  • Collaborate with a multi-disciplinary team of analysts, data engineers, developers, and data consumers.
  • Manage the assessment, design, building, and maintenance of scalable platforms for clients.
  • Develop scripts and programs for converting various types of data into usable formats.
  • Support project teams to scale, monitor, and operate data platforms.

Requirements

  • 3+ years of experience with application development.
  • 3+ years of experience with designing, developing, operationalizing, and maintaining complex data applications at an enterprise scale.
  • 3+ years of experience with creating software for retrieving, parsing, and processing structured and unstructured data.
  • 3+ years of experience with building scalable ETL and ELT workflows for reporting and analytics.
  • Experience with creating solutions within a collaborative, cross-functional team environment.
  • 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.
  • TS/SCI clearance.
  • HS diploma or GED.

Nice-to-haves

  • Experience at a Marine Forces Command or Geographic Combatant Command.
  • Experience with Python, SQL, Scala, or Java.
  • Experience with UNIX and Linux, including basic commands and Shell scripting.
  • Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud.
  • Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
  • Experience with 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.

Benefits

  • Health insurance coverage.
  • Life insurance coverage.
  • Disability insurance coverage.
  • Financial and retirement benefits.
  • Paid leave.
  • Professional development opportunities.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care support.
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