Data Engineer

Booz Allen Hamilton

. Organize structured and unstructured data from disparate sources to help clients find answers and impact missions .

Posted 10/5/2026full-timeArlington • Virginia • United StatesJuniorMid-Level💰 $62,000 - $141,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and pipeline development, with a strong focus on building scalable data solutions and collaborating within cross-functional teams. Proficient in utilizing programming languages and tools to convert and manage diverse data formats for business analysis.

Highest-signal resume keywords

Data EngineeringPython ProgrammingETL/ELT WorkflowsScalable Data PipelinesSecret Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringPipeline DevelopmentData AnalysisScriptingData Conversion

Soft Skills

CollaborationCommunication

Tools & Technologies

AWS EMRRedshiftSageMakerDatabricksApache Spark

Certifications & Qualifications

AWS Solutions ArchitectAzure CertificationSecurity+CISSP Certification

Industry Keywords

Big DataPaaSSaaSInfrastructure as CodeAgile Environment

Tech Stack

Tools & technologies

Amazon RedshiftApacheAWSAzureCloudETLPythonSparkTerraform

About the role

Key responsibilities & impact

Organize structured and unstructured data from disparate sources to help clients find answers and impact missions
Build advanced technology solutions and implement data engineering activities
Develop and deploy pipelines and platforms that organize disparate data
Work with analysts, data engineers, developers, and data consumers in a fast-paced agile environment
Support assessment, design, development, and maintenance of scalable client platforms
Develop scripts and programs to convert varied data into usable formats
Support project teams in scaling, monitoring, and operating data platforms

Requirements

What you’ll need

2+ years of experience within data engineering, data science, or pipeline development
Experience utilizing programming languages, including Python
Experience developing and maintaining scalable data stores that supply big data in forms needed 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 and 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: software for retrieving, parsing, and processing structured and unstructured data
Nice to have: distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA
Nice to have: infrastructure as code frameworks and services, including Terraform or CloudFormation
Nice to have: presenting complex technical information to technical and non-technical audiences and senior leaders
Nice to have: large-scale batch and stream analytics pipelines
Nice to have: integrated groups comprising customer success managers, infrastructure engineers, data scientists, and software engineers
Nice to have: Master's degree in a listed technical 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

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 for exceptional performance and superior demonstration of values