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Booz Allen Hamilton
Booz Allen Hamilton
ConsultingCybersecurityDefense
Booz Allen Hamilton is a management and technology consulting company serving government and commercial clients with advanced technical and strategic expertise. Its work spans national security, defense, intelligence, civil government, and critical infrastructure, bringing together teams focused on artificial intelligence, cybersecurity, cloud computing, digital transformation, engineering, and mission and operations support. The company is particularly engaged in complex, high-assurance challenges for military, intelligence, and federal agencies, alongside selected commercial sectors.
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Data Engineer - Booz Allen Hamilton - Arlington, VA

Build scalable data pipelines and platforms for Booz Allen Hamilton’s mission-focused client work in Arlington. Convert varied data into usable formats for analytics and national-security projects.

USUnited StatesVAVirginia
$62,000 – $141,000 / year
On-siteFull-timeJuniorMiddleEnglish RequiredData Engineer
Amazon RedshiftApacheAWSAzureCloudETLPythonSparkTerraform

Description

  • Structure organized and unorganized data from multiple sources to help clients answer questions and advance mission objectives
  • Create technology solutions and carry out data engineering work
  • Build and launch pipelines and platforms that bring disparate data together
  • Collaborate with analysts, engineers, developers, and data users in an agile, fast-moving setting
  • Contribute to evaluating, designing, building, and maintaining scalable client platforms
  • Write scripts and programs that transform varied data into usable formats
  • Help project teams scale, monitor, and operate data platforms

Requirements

  • At least two years of experience in data engineering, data science, or pipeline development
  • Hands-on experience with programming languages such as Python
  • Experience building and maintaining scalable data stores that provide business analysis with large datasets
  • Experience creating scalable data pipelines or ETL/ELT workflows for reporting and analytics
  • Experience delivering solutions within collaborative, cross-functional teams
  • Ability to write data-conversion scripts and programs and help teams scale, monitor, and operate data platforms
  • Active Secret clearance is required
  • Bachelor’s degree
  • Preferred: experience with PaaS and SaaS analytics workloads such as AWS EMR, Redshift, SageMaker, Databricks, or machine learning services
  • Preferred: experience using software to retrieve, parse, and process structured and unstructured data
  • Preferred: experience with distributed or parallel frameworks such as Apache Spark or NVIDIA CUDA
  • Preferred: experience with infrastructure-as-code frameworks and services such as Terraform or CloudFormation
  • Preferred: ability to explain complex technical information to technical and non-technical audiences and senior leaders
  • Preferred: experience building large-scale batch and streaming analytics pipelines
  • Preferred: experience working with integrated teams of customer success managers, infrastructure engineers, data scientists, and software engineers
  • Preferred: master’s degree in a relevant technical field
  • Preferred: cloud development certification such as AWS Solutions Architect or an Azure certification
  • Preferred: information security certification such as Security+ or CISSP
  • Selected applicants will undergo a security investigation and may need to satisfy eligibility requirements for access to classified information

Benefits

  • Health coverage
  • Life insurance
  • Disability coverage
  • Financial benefits
  • Retirement benefits
  • Paid leave
  • Professional development opportunities
  • Tuition assistance
  • Work-life programs
  • Dependent care support
  • Recognition awards for exceptional performance and strong demonstration of company values

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