Data Engineer

Job Number: R0220573

Data Engineer
The Opportunity:

As a Data Engineer, you're passionate about building robust data pipelines that transform raw intelligence from multiple sources into actionable insights at scale. You understand how modern data architectures can handle petabytes of intelligence data while maintaining real-time processing capabilities and strict security requirements. We need a Data Engineer like you to architect solutions that will revolutionize how massive volumes of multi-domain intelligence data flow seamlessly from collection to analysis.

On our team, you'll design and implement scalable data pipelines for our intelligence analysis platform, ensuring intelligence data from sensors, imagery, signals, and open sources can be ingested, processed, and made available for analysis in near real-time. You'll apply modern data engineering principles to build resilient ETL or ELT workflows that handle everything from streaming sensor telemetry to batch processing of massive imagery datasets. Using AWS services like Kinesis, EMR, and Glue alongside orchestration tools, you'll create data architectures that enable your team to deliver reliable, high-performance analytics pipelines that process classified intelligence data at an unprecedented scale.

In this role, you'll directly impact national security by building the critical data infrastructure that enables AI-powered intelligence analysis and autonomous decision-making systems. This is an opportunity to grow your experience in large-scale data architecture and real-time analytics while contributing to solutions that will accelerate intelligence processing and enhance our nation's ability to detect and resp ond to emerging threats.

Work with us as we strengthen operational excellence for intelligence and national security.

Join us. The world can't wait.

You Have:

• 4+ years of experience building production data pipelines and ETL or ELT workflows using Python, SQL, and distributed computing frameworks
• Experience with infrastructure-as-code such as CloudFormation and Terraform, and CI / CD practices for data pipeline deployment
• Knowledge of AWS data services such as S3, Kinesis, EMR, Glue, and Redshift, and stream processing technologies such as Kafka and Spark Streaming
• Ability to design and implement data lake architectures with proper data governance, cataloging, and security controls
• Secret clearance
• Bachelor's degree in a CS or Data Engineering field

Nice If You Have:

• Experience with real-time analytics platforms, time-series databases such as Timestream, and machine learning data preparation workflows
• Experience with containerized data processing such as Docker and Kubernetes, and advanced orchestration frameworks
• Knowledge of data quality frameworks, schema evolution management, and handling multi-modal data types such as imagery, signals, and text
• Ability to implement secure data pipelines for classified environments with proper data lineage tracking and audit capabilities
• Secret clearance
• Master's degree in Data Engineering, CS, or a related field

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 $77,600.00 to $176,000.00 (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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific 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.