Booz Allen Hamilton-posted 6 days ago
Full-time • Mid Level
Huntsville, AL

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. Join us. The world can’t wait. You Have:

  • Experience programming clean, secure, and efficient Java using established coding principles for scripting, data analysis, automation, and data warehousing
  • Experience performing tuning on large datasets in Oracle databases to optimize performance
  • Experience writing scripts to automate processes in the development workflow such as building, deploying, or managing Java applications
  • Experience with CI/CD practices to automate builds, testing, and deployments
  • Experience writing PL or SQL scripts and stored procedures for data manipulation, parsing, and processing within Oracle databases
  • Ability to work in a complex enterprise environment and determine the best solution required for business and customer needs
  • Ability to manage tasks and projects independently with minimal guidance and direction
  • Secret clearance
  • Bachelor's degree and 10+ years of experience as a data engineer in a large volume enterprise system, or 14+ years of experience as a data engineer in a large volume enterprise system in lieu of a degree
  • Experience with ETL tools such as Informatica
  • Experience designing and creating data warehousing solutions
  • Experience with DevOps tools and principles for collaboration and automation
  • Experience working in various SDLC models such as Waterfall, Agile, Iterative, or Spiral
  • Experience delivering solutions across all phases of the development lifecycle
  • Knowledge of Informatica's role in data warehousing and business intelligence
  • Knowledge of the benefits and usage of stored procedures, including for performance optimization and security
  • Knowledge of Oracle database concepts, including partitioning for very large databases (VLDBs)
  • TS/SCI clearance with a polygraph
  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
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