The Opportunity:
As a Data Science Engineer, you will design, build, and optimize advanced data pipelines, analytics capabilities, and AI‑ready datasets to support the Marine Corps. The role combines deep data engineering skills with hands‑on data science expertise to ensure that installation stakeholders can perform secure, scalable, and data‑driven decision‑making using AWS services.
You will work as part of a multi‑disciplinary team to integrate installation‑level and enterprise data, develop robust ETL/ELT workflows, and operationalize analytic models and dashboards for mission users. The role includes aligning data with governance, implementing AWS best practices, and enabling repeatable, automated analytics workflows across the client's operations and related defense initiatives.
Join us. The world can't wait.
You Have:
Experience in data engineering and data science supporting major defense or federal programs that rely on enterprise data platforms, such as ADVANA
Experience working with ADVANA data, tools, or projects, including integrating, transforming, or optimizing ADVANA‑hosted datasets for analysis and reporting
Experience with Python, SQL, and PySpark for large‑scale data ingestion, transformation, validation, and feature engineering
Experience building and optimizing data pipelines and analytics workflows using Databricks in cloud environments, including integration with AWS data services and enterprise data platforms
Ability to work effectively within cross‑functional teams, collaborating with engineers, analysts, and operational leaders
Ability to design, build, and maintain ETL/ELT pipelines and data lakes in AWS using services such as AWS Glue, Lambda, S3, Redshift, Athena, EMR, and Step Functions
Ability to obtain a Secret clearance
Bachelor's degree in a Computer Science, Data Science, Engineering, or Analytics field
Nice If You Have:
Experience developing dashboards, analytic views, and data products that support mission and policy decision‑making, using ADVANA tooling or other BI or analytics platforms
Experience working with data originating from U.S. military installations, including installation‑level systems, reporting structures, and operational data
Experience with CDAO analytical tools and other DoD enterprise data platforms
Experience integrating AI/ML and advanced analytics into mission workflows, including model monitoring, performance optimization, and feedback loops
Experience automating data and model workflows using DevSecOps practices, CI/CD pipelines, and Infrastructure‑as‑Code
Knowledge of policy, logistics, facilities, installation management, or readiness data domains relevant to the Marine Corps and joint operations
Knowledge of ADVANA community spaces, data cataloging, and enterprise data governance processes
Knowledge of containerization and orchestration tools, such as Docker, Kubernetes, or EKS, for data and ML workloads
Secret clearance
Master's degree in Computer Science, Data Science, Engineering, or Analytics field
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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, 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.
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