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Data Engineer

Booz Allen Hamilton

StuttgartOn-siteFull-Time3w ago

Description

The Opportunity:

Ever-expanding technology like machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As an AI and ML engineer, you know that organizing data and architecting intelligent models can yield pivotal insights when gathered from disparate sources. We need a technically skilled AI and ML engineer like you to help our clients build intelligent systems and find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence.

As an AI and ML engineer at Booz Allen, you’ll help build advanced technology solutions and implement machine learning activities on some of the most mission-driven projects in the industry. You possess a high degree of self-agency, thriving in environments where you are trusted to "figure things out" with a high degree of autonomy. You’ll bring a scrappy, technically curious approach as you code, deploy, and develop AI/ML pipelines, models, and applications 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 are eager to learn and will use your hands-on coding expertise in analytical exploration, model development, and data examination while you manage the assessment, design, building, and maintenance of scalable AI and ML applications and solutions for your clients.

Work with us to use AI for good.

Join us. The world can’t wait.

You Have:

  • 3+ years of experience in application development, AI and ML engineering, software engineering, or data science
  • 3+ years of experience designing, developing, operationalizing, and maintaining complex software or machine learning applications at enterprise scale
  • 1+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data to support machine learning workflows
  • 1+ years of experience with building scalable data pipelines, ETL and ELT workflows, or model training and deployment pipelines
  • Experience creating solutions within a collaborative and cross-functional team environment
  • Ability to code and develop scalable solutions from scratch using languages such as Python or TypeScript
  • Ability to navigate ambiguity, problem-solve creatively, and operate with minimal supervision
  • Ability to develop scripts and programs for converting various types of data into usable formats and support project teams to scale, monitor, and operate AI/ML platforms
  • Top Secret clearance
  • Bachelor’s degree in Computer Science, Data Science, or Mathematics and 3+ years of experience in a professional work environment, or 7+ years of experience in a professional work environment in lieu of a degree

Nice If You Have:

  • Experience with Full-stack application development or deploying ML models
  • Experience with Palantir tools, such as Foundry
  • Experience with distributed data or computing tools, including Spark, Databricks, or pipeline data science tools, such as Alteryx
  • Experience working on real-time data, streaming applications, or AI model deployment
  • Experience with data warehousing using AWS RDS, PostgreSQL, or Snowflake
  • Experience with Agile engineering practices
  • Ability to display a technically curious mindset and an eagerness to learn and rapidly master new AI and ML frameworks, libraries, and tools

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assis

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