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Booz Allen

Builds AI and cyber systems for the US government

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeAlbuquerque, NM, USA$61.9k - $141k /yrIn-person

About the Job

Requirements

  • At least 2 years of experience designing, building, and operating production ETL or ELT pipelines.
  • At least 2 years of experience with relational databases such as PostgreSQL, including data modeling and schema design.
  • At least 2 years of experience using Python for data processing and automation.
  • At least 1 year of experience with cloud services such as AWS.
  • Experience integrating data from RESTful APIs and external data sources.
  • Experience with workflow orchestration and CI/CD for data workloads.
  • Experience implementing or contributing to logging, monitoring, alerting, and data validation for production pipelines.
  • Ability to obtain a Secret clearance.
  • A bachelor's degree.

Responsibilities

  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Implement and manage data governance practices, ensuring data quality, security, and compliance.
  • Design, construct, install, test, and maintain highly scalable data management systems that meet business requirements and industry practices.
  • Use a variety of languages and tools to integrate systems or identify opportunities to acquire new data from other systems.
  • Interpret and analyze data from various source systems to support data integration and reporting needs.
  • Identify, design, and implement internal process improvements by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
  • Develop and optimize database schemas and data models to support analytics and reporting.
  • Create data tools for analytics and data scientist team members to assist them in building and optimizing data products.
  • Develop data-centric solutions across the testing and evaluation industry by combining consultation and big data.
  • Stay updated with industry trends and emerging technologies to propose strategic improvements.

Desired Qualifications

  • Experience with container orchestration platforms such as Docker.
  • Experience with PySpark or distributed data processing frameworks.
  • Experience with data quality frameworks or automated testing for data pipelines.
  • Knowledge of security and access controls for cloud-based data systems.
  • Secret clearance.

About the Company

Booz Allen

Builds AI and cyber systems for the US government

Booz Allen builds and runs technology for the U.S. government, mostly for the military and intelligence agencies, and its engineers work alongside consultants who know each agency's mission. In 1958, it helped the U.S. Navy create PERT, a project-scheduling method first used on the Polaris submarine missile program and later adopted across government and industry. Its teams design cyber defenses, AI and data tools, and battlefield communications, and it sells its own products, such as Vellox, a suite of AI tools that spot and fight off hackers. Agencies pay mainly through multi-year contracts that reimburse costs, bill hours, or set a fixed price. Booz Allen was founded in 1914 and is based in McLean, Virginia.

Company size
11-50
Company stage
IPO
Headquarters
McLean, VA
Founded
1914

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