Data Engineer, Lead
About The Position
Data Engineer, Lead The Opportunity: Rapid advances in IoT, machine learning, and artificial intelligence mean organizations have access to more data than ever—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:
Requirements
- 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 tagging
- Knowledge 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 To Haves
- 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)
Responsibilities
- 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.
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
