Data Engineer

Booz Allen Hamilton•Fayetteville, NC

1d•$61,900 - $141,000•Remote

About The Position

We are seeking a highly skilled Data Engineer to join our support Data team and enable reliable, governed, and high-performing data products on the Army enterprise data platforms. This role plays a crucial part in improving decision-making, readiness visibility, and reporting across Army missions by focusing on data ingestion, transformation, cleaning, quality checks, lineage, and production operations of data while maintaining compliance with platform governance and DoD security requirements. As the Data Engineer, you will build and operate data pipelines for structured, semi-structured, and unstructured data sources. You'll be cleaning and preparing raw data to ensure accuracy and consistency, followed by applying transformations such as normalization, joins, and incremental loads to create reliable and optimized datasets for downstream analytics and reporting. The role also requires implementing robust systems for data-quality checks, lineage capture, and monitoring, while troubleshooting pipeline failures through root-cause analysis. You will create and maintain incident response runbooks and optimize routine operations. The position will also involve analyzing and adhering to governance practices, such as permissions management, encryption protocols, and audit logging, ensuring compliance with DoD policies and standards. Collaboration will be essential, as you will translate mission requirements into technical solutions, develop design documentation for platform adoption, and partner with stakeholders to uphold data quality and governance standards. Using Army data tools, including Pipeline Builder, Code Repositories, Workshop, Slate, and Machinery, you’ll deliver robust, scalable data products that drive Army readiness and success. Join us. The world can't wait.

Requirements

2+ years of experience in data engineering or database management
Experience in developing scalable ETL/ELT workflows for analytics and reporting
Experience in Vantage or Foundry components, including Pipeline Builder, Code Repositories, Workshop, Slate, and Machinery
Knowledge of Agile engineering practices
Ability to implement data-quality controls, lineage tracking, monitoring workflows, and runbook management
Secret clearance
Bachelor’s degree in a Computer Science, Data Science, or Engineering field

Nice To Haves

Experience operating in DoD environments, such as NIPR, SIPR, or JWICS, and with Army mission data domains and stewardship practices
Experience with governance practices, including permissions management, encryption protocols, and compliance documentation
Experience in programming languages such as Python, Java, or C++
Experience with distributed data tools
Experience with cloud platforms
Experience with Unix or Linux, including Shell scripting and basic command-line
Knowledge of data warehousing tools
Knowledge of Agile engineering practices
Master’s degree a plus

Responsibilities

Build and operate data pipelines for structured, semi-structured, and unstructured data sources.
Clean and prepare raw data to ensure accuracy and consistency.
Apply transformations such as normalization, joins, and incremental loads to create reliable and optimized datasets for downstream analytics and reporting.
Implement robust systems for data-quality checks, lineage capture, and monitoring.
Troubleshoot pipeline failures through root-cause analysis.
Create and maintain incident response runbooks and optimize routine operations.
Analyze and adhere to governance practices, such as permissions management, encryption protocols, and audit logging, ensuring compliance with DoD policies and standards.
Translate mission requirements into technical solutions.
Develop design documentation for platform adoption.
Partner with stakeholders to uphold data quality and governance standards.
Deliver robust, scalable data products that drive Army readiness and success using Army data tools, including Pipeline Builder, Code Repositories, Workshop, Slate, and Machinery.