Booz Allen Hamilton-posted 8 days ago
Full-time • Mid Level
McLean, VA

Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence. 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. Join us. The world can’t wait.

  • manage the assessment, design, building, and maintenance of scalable platforms for your clients
  • 5+ years of experience in a data engineering, software engineering, software devops, or adjacent role
  • 5+ years of experience designing and developing databases and applications within classified IC environments
  • Experience creating custom SQL solutions, including scripts, stored procedures, optimized queries, and user-facing interfaces tailored for secure IC networks
  • Experience building and maintaining integrations between data sources and analytic tools such as Tableau, Power BI, Kibana, and Grafana
  • Experience in programming languages, such as Python, developing tools, scripts, or automations to support data ingestion, transformation, and operational workflows, and UNIX/Linux, including basic commands and Shell scripting
  • Experience using large-scale dataflow and transformation technologies, such as Hadoop, EMR, Snowflake, and Apache NiFi, to build production-ready datasets for analytic use
  • Knowledge of IC cloud platforms and services, such as AWS, Microsoft Azure, or Google Cloud
  • Ability to document and communicate database designs, such as ER diagrams, schema definitions, and system architecture, to both technical teams and non-technical stakeholders
  • TS/SCI clearance with a polygraph
  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or Business Information Systems
  • Experience in developing and presenting IC-focused metrics, including assessments of how IC reporting maps to intelligence requirements, how effectively the IC responds to shifting priorities, and how various producing groups contribute to mission needs
  • Experience in architecting, validating, and maintaining software tools that enable assessment workflows and metrics generation across large, integrated datasets
  • Experience designing and implementing secure APIs that provide controlled, authenticated access to enterprise data repositories
  • Experience leading technical teams
  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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