Data Engineer, Mid

The Challenge:

Do you want to work at the forefront of advanced technology and solve complex data challenges? You know that data yields pivotal insights when it’s gathered from disparate sources and organized. As a data engineer, you have the chance to develop and deploy the pipelines and platforms that make this data meaningful. What’s more, you’ll have the chance to help grow Booz Allen’s DataOps capabilities while working with a multi-disciplinary team of analysts, data scientists, developers, and data consumers in a fast-paced, agile environment. We’re looking for someone like you to work with our clients and meet their mission by developing the next generation of IT Infrastructure. 

This is an opportunity to implement data engineering activities on some of the most mission-driven projects in the industry. Supporting tactical and strategic data infrastructure, you’ll have the chance to architect data systems, stand up data platforms, build out ETL pipelines, write custom code, interface with data stores, perform ingestion, and deploy models. From sharing your skills in analytical exploration and examination of data to supporting the assessment, design, building, and maintenance of scalable platforms, you’ll work with our clients to solve their most pressing challenges.

Ready to help drive innovation using cutting-edge data tools and techniques?  

Join us. The world can’t wait. 

You Have:

  • 1+ years of experience writing software in programming languages, including Python
  • 1+ years of experience with source control and collaboration software, including Git or Atlassian tools 
  • 1+ years of experience with extract, transform, load (ETL) operations, including on-premises or cloud infrastructure  
  • Knowledge of machine learning approaches, techniques, and their advantages and disadvantages
  • 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 security clearance 
  • Bachelor's degree

Nice If You Have:

  • Experience deploying analytics workloads on platform as a service (PaaS) and software as a service (SaaS), including AWS EMR/Redshift/SageMaker or Azure Databricks/SQL Data Warehouse/Machine Learning service
  • Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA
  • Experience with infrastructure as code (IaC) frameworks and services, including Terraform or CloudFormation
  • Experience developing and presenting complex technical information for both technical and non-technical audiences and senior leaders
  • Experience with developing and deploying large-scale batch and stream analytics pipelines
  • Experience in working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers
  • Experience with DoD information systems
  • Master’s degree in Mathematics, C12CS, or a related quantitative field
  • Cloud development Certification, including AWS Solutions Architect or Azure
  • Information security Certification, including Security+ or CISSP


Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Build Your Career:

At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:

  • access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk
  • change the world with the Data Science Bowl—the world’s premier data science for social good competition
  • participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government

You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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