Data Engineer

Booz Allen HamiltonSan Antonio, TX
Remote

About The Position

As a Data Engineer at Booz Allen, you’ll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait.

Requirements

  • 2+ years of experience utilizing programming languages, including C++, Java, or Python
  • Experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
  • Experience creating software for retrieving, parsing, and processing structured and unstructured data
  • Experience with developing scalable ETL or 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
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor’s degree

Nice To Haves

  • Experience in application development utilizing SQL or Scala
  • Experience with a public cloud, including 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 implementation using MongoDB or Cassandra
  • Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake
  • Experience with UNIX or Linux, including basic commands and Shell scripting
  • Experience with Agile engineering practices

Responsibilities

  • Develop and deploy the pipelines and platforms that organize and make disparate data meaningful.
  • Work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
  • Support the assessment, design, developing, and maintenance of scalable platforms for clients.
  • Develop scripts and programs for converting various types of data into usable formats.
  • Support project team to scale, monitor, and operate data platforms.

Benefits

  • health, life, disability, financial, and retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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