DataEngineer

Data Engineer **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, or managing applications * Experience with CI/CD practices * Experience with SQL, including stored procedures and data modeling * Knowle