Data Engineer

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 efforts and 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 information and 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/SCI clearance is required.

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