- Salary
- $62k – $141k
- Location
- USA, VA, Chantilly (15059 Conference Ctr Dr), United States of America
- Type
- Full-time
- Department
- Engineering
- Clearance
- Required
- Closing date
- Today
- Source
- Workday
Description
The Opportunity:
Booz Allen is seeking a Data Engineer to architect, develop, and optimize scalable data pipelines and platforms that transform complex data into actionable insights. In this role, you will lead a team of data engineers to design modern, cloud-native solutions integrating structured and unstructured data across secure environments. You will serve as a technical and strategic leader, responsible for building and maintaining enterprise data infrastructure that powers analytics, reporting, and mission-critical decision-making. Collaborating with multidisciplinary teams, you will set engineering standards, ensure data quality, and drive innovation, enabling the organization to leverage data as a secure and strategic asset at scale.
This position blends technical expertise with leadership responsibilities to deliver high-quality, reliable, and secure data solutions across cloud and distributed systems. Work with us to use data for good.
Join us. The world can’t wait.
You Have:
Experience building and maintaining data pipelines
Experience with ETL development using NiFi, Python, or Java
Experience with SQL, PostgreSQL, or Kafka
Knowledge of AWS services, including S3, RDS, and Aurora
Ability to work independently and collaboratively in a team environment
TS/SCI clearance with a polygraph
Bachelor’s degree in a Computer Science or Engineering field
Ability to obtain Security+ Certification within 6 months of hire
Nice If You Have:
Experience with Kafka ecosystem tools such as Kafka Connect or Kafka Streams
Experience with NiFi for data flow automation
Experience with Geospatial Services and implementation of OGC web standards including WMS and WFS
Experience with Docker image creation and container lifecycle management
Experience with Kubernetes, Helm, ArgoCD, or related orchestration tools
Experience monitoring tools2, such as Grafana, Prometheus, or Elasticsearch and Kibana
Experience with real-time data and streaming architectures
Experience implementing Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) to restrict sensitive data visibility
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 with polygraph 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 $62,000.00 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
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.
