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Booz Allen Hamilton

Data Engineer

Booz Allen Hamilton

. Build advanced technology solutions and implement data engineering activities on mission-driven projects .

Posted 10/13/2026full-timeArlington • Virginia • United StatesJuniorMid-Level💰 $62,000 - $141,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying scalable data pipelines and platforms, utilizing programming languages such as Python, and leveraging cloud services like AWS for analytics workloads. Proficient in collaborating within cross-functional teams to support data engineering activities and maintain data platforms.

Highest-signal resume keywords
Python ProgrammingData Pipeline DevelopmentAWS EMRApache SparkCloud Development Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringETL/ELT WorkflowsData ExaminationScript DevelopmentBatch and Stream Analytics
Soft Skills
CollaborationCommunication
Tools & Technologies
AWS RedshiftAWS SageMakerDatabricksTerraformCloudFormation
Certifications & Qualifications
Cloud Development CertificationInformation Security Certification
Industry Keywords
Big DataData StoresAgile EnvironmentSecret ClearanceCross-Functional Team

Tech Stack

Tools & technologies
Amazon RedshiftApacheAWSAzureCloudETLPythonSparkTerraform

About the role

Key responsibilities & impact
  • Build advanced technology solutions and implement data engineering activities on mission-driven projects
  • Develop and deploy pipelines and platforms that organize disparate data and make it meaningful
  • Work with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment
  • Support the assessment, design, development, and maintenance of scalable client platforms
  • Perform analytical exploration and data examination
  • Develop scripts and programs to convert various data types into usable formats
  • Support project teams in scaling, monitoring, and operating data platforms

Requirements

What you’ll need
  • 2+ years of experience utilizing programming languages, including Python
  • Experience developing and maintaining scalable data stores that supply big data for business analysis
  • Experience developing scalable data pipelines or ETL/ELT workflows for reporting and analytics
  • Experience creating solutions within a collaborative, cross-functional team environment
  • Ability to develop scripts and programs for converting various types of data into usable formats
  • Ability to support project teams to scale, monitor, and operate data platforms
  • Secret clearance required
  • Bachelor’s degree
  • Experience deploying analytics workloads on PaaS and SaaS, including AWS EMR, Redshift, SageMaker, Databricks, or machine learning services
  • Experience creating software for retrieving, parsing, and processing structured and unstructured data
  • 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 to technical and non-technical audiences and senior leaders
  • Experience developing and deploying large-scale batch and stream analytics pipelines
  • Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers
  • Master’s degree in CS, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, or Physics
  • Cloud Development Certification such as AWS Solutions Architect or Azure Certification
  • Information Security Certification such as Security+ or CISSP Certification

Benefits

Comp & perks
  • Health benefits
  • Life insurance
  • Disability benefits
  • Financial benefits
  • Retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program
  • Identity verification and fraud prevention process
  • Full-time employees working at least 20 hours a week are eligible for Booz Allen benefit programs