Booz Allen Hamilton - Nellis Air Force Base, NV

posted 2 months ago

Part-time,Full-time - Mid Level
Nellis Air Force Base, NV
Professional, Scientific, and Technical Services

About the position

As a Data Engineer and Operations Analyst at Booz Allen Hamilton, you will play a crucial role in harnessing the power of big data to drive impactful missions across various sectors, including fraud detection, cancer research, and national intelligence. The rapid evolution of technologies such as IoT, machine learning, and artificial intelligence has resulted in an unprecedented volume of structured and unstructured data. Your expertise will be essential in organizing this data to extract pivotal insights that can influence critical decisions and strategies. In this position, you will be responsible for implementing data engineering activities on mission-driven projects, deploying and developing pipelines and platforms that transform disparate data into meaningful information. You will collaborate with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. Your role will involve managing the assessment, design, building, and maintenance of scalable platforms tailored to meet client needs. Your experience in analytical exploration and data examination will be vital as you guide your team in creating solutions that enhance data usability. You will be expected to develop scripts and programs that convert various types of data into usable formats, ensuring that the project team can scale, monitor, and operate data platforms effectively. This position offers a unique opportunity to leverage big data for good, contributing to projects that have a significant societal impact.

Responsibilities

  • Implement data engineering activities on mission-driven projects.
  • Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
  • Guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
  • 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

  • 5+ years of experience in application development.
  • 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale.
  • 5+ years of experience with Python, SQL, Scala, or Java.
  • 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data.
  • 3+ years of 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 and support project team to scale, monitor and operate data platforms.
  • TS/SCI clearance.
  • Bachelor's degree.

Nice-to-haves

  • 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 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.
  • Master's degree in Data or Mathematics.

Benefits

  • Wellness programs with HSA contributions.
  • Paid holidays.
  • Paid parental leave.
  • Generous 401(k) match.
  • Flexible schedules and remote/hybrid work options.
  • Professional development opportunities including upskilling programs and tuition reimbursement.
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