The Data Engineer role at Booz Allen Hamilton is an onsite position in Chantilly, VA, focused on building data pipelines and platforms, organizing disparate data for analytics, and collaborating with cross-functional teams on mission-driven projects.
Responsibilities
- Develop advanced technology solutions and execute data engineering activities on mission-oriented initiatives.
- Deploy and enhance pipelines and platforms that structure diverse data to yield meaningful insights.
- Lead and collaborate with a cross-disciplinary team of analysts, data engineers, developers, and data consumers in an agile environment.
- Oversee the assessment, design, construction, and maintenance of scalable client platforms through analytical exploration and data examination.
Requirements
- 3+ years of experience designing cloud-native data platforms in AWS
- 2+ years designing scalable data lakes, data warehouses, and analytics solutions
- 2+ years of cloud migration and modernization efforts
- 2+ years working with data pipelines, including data acquisition, data preparation, and database architecture
- Experience on data engineering projects that support data science, AI/ML implementations, and Business Intelligence dashboards
- Experience with non-relational and semi-relational databases
- Experience creating software for retrieving, parsing, and processing structured and unstructured data
- Experience in team leadership functions within a collaborative, cross-functional team environment
- TS/SCI clearance with polygraph
- Bachelor's degree in Computer Science
Technologies
- AWS
- Databricks
- EMR
- PySpark
- Spark
- Python
- SQL
- GitHub
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
The Opportunity
Advances in IoT, machine learning, and artificial intelligence are expanding the volume and variety of data. Organizing data from multiple sources can unlock critical insights for important missions, including fraud detection, health research, and national security.
As a data engineer at Booz Allen, you will help build advanced technology solutions and implement data engineering activities on mission-driven projects. You will deploy and develop pipelines and platforms that render disparate data meaningful, guiding a multi-disciplinary team in a fast-paced, agile setting.
In this role, you will apply your skills in data analysis and platform development to support scalable client solutions and drive impact across diverse domains.
Nice If You Have
- Experience with PySpark and Spark ecosystems such as Databricks and EMR
- Experience evaluating data analytics or science technologies and platforms
- Experience leading or contributing to A&A processes or modifications
- Experience with cloud architecture evaluation and selection of cloud analytics architectures
- Experience with Data Marts and Data Warehouses, including creating, managing, and troubleshooting complex data flows
- Experience with source code management and integration tools such as GitHub
- Experience designing, developing, deploying, or testing in AWS
- Proficiency in Python and SQL scripting
- Experience with APIs development
- AWS architecture certifications, such as the Solutions Architect Certification
Clearance
TS/SCI clearance with polygraph is required.
Compensation
Salary range: USD 77,600 to 176,000 per year. This posting will close within 90 days from the posting date.
Identity Statement
As part of the hiring process, Booz Allen will require an identity verification process that employs advanced biometrics and artificial intelligence to verify authenticity and protect against identity fraud. Candidates may be asked to be on camera during interviews and assessments, and Booz Allen reserves the right to capture a photo for identity verification.
Candidate AI Usage Policy
AI is integrated into Booz Allen's daily workflows, and the company promotes responsible use of AI tools. The use of artificial intelligence or similar tools to assist with responses during interviews is prohibited unless explicit permission is provided.
Work Model
Onsite: Work will primarily be conducted at a Booz Allen office or at a customer facility, with collaboration at the required locations.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.
