BigID Data Engineer

Booz Allen Hamilton•McLean, VA
•$62,000 - $141,000•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. Work with us to use data for good.

Requirements

  • 3+ years of experience with data pipelines, including data acquisition, data tagging, and data integration
  • 3+ years of experience in ETL development using SQL, Java, or Python
  • 3+ years of experience processing a variety of data, including structured semi-structured and unstructured
  • Experience with BigID
  • Experience with AWS services
  • Experience applying ML models for classification
  • Secret clearance
  • HS diploma or GED

Nice To Haves

  • Experience with Databricks
  • Experience with big data ecosystems
  • Experience with Infrastructure-as-Code tools such as Terraform or Ansible
  • Experience with Agile development methodologies
  • Experience working on real-time data and streaming applications
  • Ability to pay strict attention to detail
  • Possession of excellent problem-solving and analytical skills
  • TS/SCI clearance
  • Bachelor's degree in an IT-related field

Responsibilities

  • Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
  • Work with and 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.

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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