631 Booz Allen Hamilton_United States · San Diego, CA

Data Engineer at 631 Booz Allen Hamilton_United States — San Diego, CA

Full-timeSan Diego, CA$61,900–$141,000/yearPosted 2026-07-17Apply on Workday
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Full job description

Data EngineerThe 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 a data professional 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 use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful.

Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, development, and maintenance of scalable platforms for your clients.

Work with us to use data for good.

Join us. The world can’t wait.

You Have:

  • 1+ year of experience within data engineering, data science, or data analytics, including in a professional or academic environment
  • Experience writing software in programming languages, including Python, SQL, or C++
  • Experience with data visualization tools, including Power Bi, Tableau, or Qlik
  • Knowledge of relational and non-relational database technologies, including SQL or GraphQL
  • Knowledge of automation and scripting on Linux or Windows operating systems
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:

  • Experience with ETL operations or pipeline development and integration
  • Experience deploying analytics workloads on a platform as a service (PaaS) and software as a service (SaaS), including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service
  • Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA
  • Experience with infrastructure as code frameworks and services, including Terraform or CloudFormation
  • Experience developing and presenting complex technical information for technical and non-technical audiences and senior leaders
  • Experience developing and deploying large-scale batch and stream analytics pipelines
  • Experience with DoD information systems
  • Master’s degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, Physics, or a related field

Clearance:

Compensation

Identity Statement

Candidate AI Usage Policy

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination