Modern Software Developer, Senior

Booz Allen HamiltonArlington, VA
Remote

About The Position

As a full-stack developer for analytics solutions, you can solve a problem with a complete end-to-end solution in a fast-paced, agile environment. Your solutions will help clients and stakeholders make sense of their data and encourage actionable results. We’re looking for a developer with the skills needed to build mission critical analytics software from vision to production-ready system. This role is more than just coding. As a senior full stack developer at Booz Allen, you’ll use your passion to master new tools and techniques and identify needed system improvements. You’ll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You’ll make sure the solution developed by the team considers the current architecture and operating environment, as well as future functionality and enhancements. Join us. The world can’t wait.

Requirements

  • 3+ years of experience designing, modifying, developing, writing, and implementing software programming applications using agile methods.
  • 3+ years of experience in software development with basic programming languages, technologies, tools, or development stacks including JavaScript or TypeScript, NodeJS, React, and Python.
  • 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
  • 2+ years of experience with data analysis and analyzing structured and unstructured data sources.
  • Experience implementing AI, ML, or GenAI-based projects aligned to business needs.
  • Knowledge of microservice architectures.
  • Secret clearance.
  • Bachelor’s degree in Computer Science, Data Science, Computer Engineering, or Statistics, or 8+ years of experience in software engineering in lieu of a degree.
  • Cybersecurity certification such as CompTIA Security+, and computing environment certification such as CompTIA Linux+ or an AWS Associate-level certification.

Nice To Haves

  • Experience acquiring client requirements, process improvement, performance management, and resolving workflow problems through automation optimization.
  • Experience leveraging DevOps pipelines to support rapid delivery of solutions.
  • Experience in data science with a focus on Science and Technology or programs.
  • Experience in the development of algorithms leveraging R, SQL, or NoSQL.
  • Experience manipulating or using data objects with relational or NoSQL databases.
  • Experience developing predictive data models, quantitative analyses, object-oriented programming, and visualization of targeted data sources.
  • Experience coordinating a workstream and managing tasks.
  • Ability to work with automated testing tools to perform testing and maintenance.
  • Possession of excellent interpersonal, team, and relationship-building skills.

Responsibilities

  • Design, modify, develop, write, and implement software programming applications using agile methods.
  • Explore, clean, analyze, visualize, and mine data.
  • Analyze structured and unstructured data sources.
  • Implement AI, ML, or GenAI-based projects aligned to business needs.
  • Ensure the solution developed by the team considers the current architecture and operating environment, as well as future functionality and enhancements.
  • Master new tools and techniques and identify needed system improvements.
  • Help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies.
  • Leverage DevOps pipelines to support rapid delivery of solutions.
  • Develop algorithms leveraging R, SQL, or NoSQL.
  • Manipulate or use data objects with relational or NoSQL databases.
  • Develop predictive data models, quantitative analyses, object-oriented programming, and visualization of targeted data sources.
  • Coordinate a workstream and manage tasks.
  • Perform testing and maintenance using automated testing tools.

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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