Data Engineer

Booz Allen Hamilton; Fort Benning (GA); On-site; USD 77,500 - 176,000; Full time

Benefits offered by this job

Health benefits

Paid leave

Tuition assistance

Job summary

Booz Allen Hamilton is seeking a Data Engineer to design and build data platforms that support mission-critical outcomes. You will collaborate with analysts, AI engineers, and stakeholders to solve real-world challenges.

The ideal candidate has over 2 years of experience in data engineering, strong skills in Python, SQL and AWS services, and must hold a TS/SCI clearance. This position offers competitive compensation with additional benefits.

Qualifications

• 2+ years of experience as a data engineer supporting large‑scale enterprise systems.
• Experience with CI/CD practices and automation workflows.
• TS/SCI clearance is required.

Responsibilities

• Design, build, and maintain scalable data pipelines and platforms.
• Develop secure, efficient Python for data processing and automation.
• Migrate data to cloud environments and implement CI/CD pipelines.

Skills

Data engineering with Python

Data pipeline development

CI/CD practices

SQL and data modeling

Data governance

AWS services knowledge

Education

High school diploma or GED

Tools

ETL tools (dbt, Airflow)

Terraform

NoSQL databases

Job description

The Opportunity

Rapid advances in IoT, machine learning, and artificial intelligence mean organizations have access to more data than ever before—both structured and unstructured. Turning that data into actionable insight requires strong engineering, thoughtful design, and scalable platforms.

Job Number: R0239251

Data Engineer

Responsibilities

As a senior Data Engineer at Booz Allen, you will design and build data platforms and pipelines that power mission‑critical outcomes. You will work on complex, high‑impact programs that help clients solve real‑world challenges with data.

You will collaborate with analysts, AI engineers, developers, and stakeholders in a fast‑paced, agile environment. In this role, you will lead technical efforts across assessment, design, development, and sustainment of scalable data platforms while mentoring teammates and driving best practices.

What You’ll Work On

• Design, build, and maintain scalable data pipelines and platforms.
• Develop secure, efficient Python for data processing, automation, and warehousing.
• Migrate and integrate data from on‑premises systems to cloud environments.
• Implement CI/CD pipelines to automate build, test, and deployment workflows.
• Develop SQL scripts and stored procedures for data processing and transformation.
• Apply data modeling best practices.
• Support data governance, metadata tagging, and access controls.
• Partner with cross‑functional teams to deliver end‑to‑end data solutions.
• Provide technical guidance in a complex enterprise environment.

You Have

• 2+ years of experience as a data engineer supporting large‑scale enterprise systems.
• Experience writing clean, secure, and efficient Python for data engineering use cases.
• Experience moving data from on‑prem environments to the cloud and automating development workflows, including building, deploying, or managing applications.
• Experience with CI/CD practices.
• Experience with SQL, including stored procedures and data modeling.
• Experience with data governance and data tagging.
• Knowledge of AWS services, such as S3, IAM, EventBridge, Step Functions, or Lambda.
• Ability to work independently and manage tasks with minimal supervision.
• TS/SCI clearance.
• High school diploma or GED.

Nice If You Have

• Experience with Pipeline Builder, AIP, and Foundry's application development ecosystem.
• Experience with ETL tools, such as dbt and Airflow.
• Experience with NoSQL and graph databases, and DevOps tools and automation practices.
• Experience designing and building data warehouses.
• Experience working in multiple SDLC models, including Agile, Waterfall, Iterative, or Spiral.
• Experience with open table formats, such as Apache Iceberg.
• Experience with infrastructure‑as‑code, including Terraform or CloudFormation.
• Knowledge of data lakes and lakehouse architectures and database performance concepts, such as partitioning.
• Knowledge of Zero Trust and attribute‑based access control (ABAC).

Clearance

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

Compensation

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. Salary for this position is $77,500.00 to $176,000.00 (annualized USD). This posting will close within 90 days from the posting date.

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.