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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 9/21/2026full-timeArlington • Virginia • United StatesJuniorMid-Level💰 $62,000 - $141,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and maintaining scalable data platforms and pipelines, utilizing programming languages such as Python. Proficient in collaborating within cross-functional teams to derive insights from structured and unstructured data while ensuring compliance with security requirements.

Highest-signal resume keywords
Python ProgrammingData Pipeline DevelopmentETL/ELT WorkflowsScalable Data PlatformsSecret Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringData ExaminationScript DevelopmentData ConversionAnalytical Exploration
Soft Skills
CollaborationCommunication
Tools & Technologies
AWS EMRRedshiftSageMakerDatabricksApache Spark
Certifications & Qualifications
AWS Solutions ArchitectAzure CertificationSecurity+CISSP Certification
Industry Keywords
PaaSSaaSCloud DevelopmentMachine LearningData Analysis

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 data pipelines and platforms that organize disparate data
  • Support clients in finding meaningful insights from structured and unstructured data
  • Assess, design, develop, and maintain scalable data platforms
  • Work with analysts, data engineers, developers, and data consumers in a fast-paced agile environment
  • 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 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
  • Nice to have: experience with PaaS and SaaS analytics workloads, including AWS EMR, Redshift, SageMaker, Databricks, or machine learning services
  • Nice to have: experience retrieving, parsing, and processing structured and unstructured data
  • Nice to have: experience with Apache Spark or NVIDIA CUDA
  • Nice to have: experience with Terraform or CloudFormation
  • Nice to have: experience presenting complex technical information to technical and non-technical audiences and senior leaders
  • Nice to have: experience developing and deploying large-scale batch and stream analytics pipelines
  • Nice to have: experience with integrated groups of customer success managers, infrastructure engineers, data scientists, and software engineers
  • Nice to have: Master’s degree in a relevant field
  • Nice to have: Cloud Development Certification such as AWS Solutions Architect or Azure Certification
  • Nice to have: Information Security Certification such as Security+ or CISSP Certification
  • Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information
  • Identity verification using advanced biometrics and artificial intelligence is required during the hiring process
  • Candidates are expected to be on camera during interviews and assessments
  • Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted

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 for exceptional performance and superior demonstration of values