À propos
Data Engineer, Lead
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.
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’ll 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.
Join us. The world can't wait.
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, managing applications
Experience with CI/CD practices
Experience with SQL, including stored procedures, and data modeling
Experience with data governance and data taggingKnowledge of AWS services such as S3, IAM, EventBridge, Step Functions, Lambda
Ability to work independently and manage tasks with minimal supervision
TS/SCI clearance
Bachelor's degree in Computer Science, Data Science, or Mathematics
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
Experience designing and building data warehouses
Experience with DevOps tools and automation practices
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 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 $99,000.00 to $225,000.00 (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.
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.
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Compétences linguistiques
- English
Avis aux utilisateurs
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