e-Commerce Database Engineer

Job Number: R0246721 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you'll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can't wait. You Have: - 5+ years of experience with data architecture, design, or engineering projects - Experience with cloud migration and modernization effortsand creating automated Extract, Transform, Load (ETL) processes to move data from unstructured source data to application governed storage - Experience with the data pipelines, including data acquisition, data prep, database architecture, data governance, and data tagging - Experience with non-relational NoSQL, semi-relational databases, and relational SQL databases - Experience with implementing monitoring tools to maintain data integrity, fix broken pipelines, and handle missing or corrupt informationand designing scalable data lake, warehouse, and analytics solutions - Experience integrating AI/ML capabilities into production workflows or operator tooling, such as LLM enabled assistants, model augmented decision aids, or automation solutions - Knowledge of AWS services, such as S3, IAM, EventBridge, Step Functions, or Lambda - Ability to work both within a team and independently to manage tasks with minimal supervision - TS/SCI clearance - Bachelor's degree in Computer Science or technical discipline Nice If You Have: - Experience evaluating data analytic or science technologies and platforms - Experience designing cloud-native data platforms in AWS - Experience with Cloud Architecture and evaluating and selecting cloud analytics architectures - Experience with Data Marts and Data Warehouses and creating, managing, and troubleshooting complex operational data flows - Experience with ETL tools, such as dbt and Airflow - Experience with Source code management and integration such as GitHub - Experience with CI/CD practices - Experience with programming languages such as Python, Rust, C++, Java, etc. - Experience with API development - AWS architecture Certifications such as Solution Architect Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCIclearance 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. O