Data Engineer, Mid

$75,600 - $172,000/Yr

Booz Allen Hamilton - Arlington, VA

posted 9 months ago

Part-time,Full-time - Mid Level
Arlington, VA
Professional, Scientific, and Technical Services

About the position

As a Data Engineer at Booz Allen, you will play a crucial role in harnessing the power of big data to drive impactful solutions across various sectors, including fraud detection, cancer research, and national intelligence. The position requires you to implement data engineering activities on mission-driven projects, where you will deploy and develop pipelines and platforms that organize and make disparate data meaningful. Your expertise will be essential in guiding a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You will leverage your experience in analytical exploration and data examination to manage the assessment, design, building, and maintenance of scalable platforms for clients. In this role, you will be responsible for designing, developing, operationalizing, and maintaining complex data applications at an enterprise scale. You will create software for retrieving, parsing, and processing both structured and unstructured data, and build scalable ETL and ELT workflows for reporting and analytics. Collaboration is key, as you will work within a cross-functional team environment, developing scripts and programs to convert various types of data into usable formats, supporting project teams to scale, and monitoring and operating data platforms. Your contributions will help clients find answers in their big data, ultimately impacting important missions and making a difference in the world.

Responsibilities

  • Implement data engineering activities on mission-driven projects.
  • Deploy and develop pipelines and platforms for organizing data.
  • Guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers.
  • Manage the assessment, design, building, and maintenance of scalable platforms.
  • Design, develop, operationalize, and maintain complex data applications at enterprise scale.
  • Create software for retrieving, parsing, and processing structured and unstructured data.
  • Build scalable ETL and ELT workflows for reporting and analytics.
  • Develop scripts and programs for converting various types of data into usable formats.

Requirements

  • 2+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale.
  • Experience creating software for retrieving, parsing, and processing structured and unstructured data.
  • Experience building scalable ETL and ELT workflows for reporting and analytics.
  • Experience creating solutions within a collaborative, cross-functional team environment.
  • Ability to develop scripts and programs for converting various types of data into usable formats, supporting project team to scale, and monitoring and operating data platforms.
  • Secret clearance.
  • Bachelor's degree.

Nice-to-haves

  • 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 Elasticsearch, Logstash, and Kibana.
  • 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.

Benefits

  • Wellness programs with HSA contributions.
  • Paid holidays.
  • Paid parental leave.
  • Generous 401(k) match.
  • Flexible schedules and remote/hybrid work options.
  • Tuition reimbursement.
  • Professional development opportunities.
  • Mentoring and firm-sponsored networking.
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