Data Engineer

Booz Allen Hamilton; Fort Knox (KY); Hybrid; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Engineer to join the Army-focused data team. You will build and operate data pipelines for structured, semi-structured, and unstructured sources, ensuring data quality, governance, and security alignment with DoD requirements.

The role emphasizes data ingestion, transformation, lineage, monitoring, and incident response while partnering with stakeholders to deliver reliable data products for decision-making and readiness across Army missions.

Qualifications

• 2+ years of experience in data engineering or database management.
• Experience in developing scalable ETL and 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 required.
• Bachelor’s degree or higher.

Skills

Data engineering

ETL/ELT workflows

Governance & security

Agile practices

Python/Java/C++

Education

Bachelor’s degree

Master’s degree

Tools

Pipeline Builder

Code Repositories

Workshop

Slate

Machinery

Job description

Job Number: R0252847

Data Engineer

The Opportunity

We are seeking a highly skilled Data Engineer to join our 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.

You Have

• 2+ years of experience in data engineering or database management
• Experience in developing scalable ETL and 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

Nice If You Have

• 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
• Master’s degree

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership’s expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.