Data Engineer, Senior

Booz Allen HamiltonHuntsville, AL
2d

About The Position

Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l 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.

Requirements

  • Experience in programming clean, secure, and efficient code using established principles for scripting, data analysis, automation, and data warehousing
  • Experience programming in JavaScript, Java, Python, SQL, Scala, or Bash / Shell scripting
  • Experience building scalable ETL / ELT workflows for reporting and analytics
  • 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 RDBMS such as Oracle or Postgres
  • Ability to work in a complex enterprise environment and determine the best solution required for business and customer needs
  • Ability to independently research, design, document, and implement new data services
  • Top Secret clearance
  • Bachelor's degree and 10+ years of experience as a database engineer of a large volume enterprise system, or 14+ years of experience as a database engineer of a large volume enterprise system in lieu of a degree

Nice To Haves

  • Experience administering, deploying, and managing RDBMS such as Oracle and Postgres on cloud platforms like AWS
  • Experience designing and creating data warehousing solutions
  • Experience performance-tuning large datasets in RDBMS such as Oracle and Postgres to optimize performance
  • Knowledge of database design principles, query optimization, and index management
  • TS/SCI clearance with a polygraph
  • AWS Certifications such as AWS Big Data Certification

Benefits

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