Data Engineer

Booz Allen Hamilton•Chantilly, VA
•Onsite

About The Position

As a data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.

Requirements

  • 5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data
  • 3+ years of experience with Python, SQL, Scala, or Java
  • 3+ years of experience building scalable ETL and ELT workflows for reporting and analytics
  • Experience creating solutions within a collaborative and cross-functional team environment
  • Experience using version control tools, such as GitLab, GitHub, or Bitbucket
  • 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 with a polygraph
  • HS diploma or GED
  • Ability to obtain a Security+ Certification within 6 months of start date

Nice To Haves

  • Experience with UNIX or Linux, including basic commands and Shell scripting
  • 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 on real-time data and streaming applications
  • Experience with NoSQL implementation, including MongoDB or Cassandra
  • Experience with Databricks
  • Experience with data warehousing using AWS Redshift, MySQL, or Snowflake
  • Experience with Agile engineering practices
  • Bachelor's degree in a Data or IT-related field
  • Security+ Certification

Responsibilities

  • Creating software for retrieving, parsing, and processing structured and unstructured data
  • Building scalable ETL and ELT workflows for reporting and analytics
  • Creating solutions within a collaborative and cross-functional team environment
  • Developing scripts and programs for converting various types of data into usable formats
  • Supporting project teams 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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