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Booz Allen Hamilton

Data Engineer

Booz Allen Hamilton

. Implement data engineering activities on mission-driven projects .

Posted 9/16/2026full-timeChantilly • Colorado • United StatesMid-LevelSenior💰 $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 data engineering, including the development and deployment of data pipelines and platforms, with a strong focus on ETL processes and real-time data applications. Proficient in utilizing AWS services and tools like NiFi, while ensuring data organization and meaningful use for mission-driven outcomes.

Highest-signal resume keywords
Data Pipeline DevelopmentETL Development Using Java, Python, SQLPostgreSQL or Kafka ExperienceAWS Services ExperienceTop Secret Clearance

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AcquisitionData PreparationDatabase ArchitectureKafka Ecosystem ToolsInfrastructure-as-Code ToolsAgile Development MethodologiesReal-Time Data ApplicationsML Lifecycle Knowledge
Soft Skills
Attention to DetailProblem-Solving SkillsAnalytical Skills
Tools & Technologies
NiFiTerraformAnsibleKafka ConnectKafka Streams
Certifications & Qualifications
Bachelor’s DegreeTop Secret Clearance
Industry Keywords
Data EngineeringMission-Driven ProjectsDisparate Data OrganizationAgile Environment

Tech Stack

Tools & technologies
AnsibleAWSETLJavaKafkaPostgresPythonSQLTerraform

About the role

Key responsibilities & impact
  • Implement data engineering activities on mission-driven projects
  • Deploy and develop pipelines and platforms that organize disparate data and make it available and meaningful
  • Work with data engineers, developers, and data consumers in a fast-paced, agile environment
  • Organize structured and unstructured data from disparate sources
  • Support data use for mission-driven outcomes

Requirements

What you’ll need
  • 3+ years of experience with data pipelines, including data acquisition, data preparation, and database architecture
  • 2+ years of experience in ETL development using Java, Python, and SQL
  • 2+ years of experience with PostgreSQL or Kafka
  • Experience with AWS services
  • Experience with NiFi
  • Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem
  • Top Secret clearance is required
  • Bachelor’s degree
  • Experience with Kafka ecosystem tools such as Kafka Connect and Kafka Streams
  • Experience with Infrastructure-as-Code tools such as Terraform or Ansible
  • Experience with Agile development methodologies
  • Experience working on real-time data and streaming applications
  • Ability to pay strict attention to detail
  • Excellent problem-solving and analytical skills

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 company values