Data Engineer

Booz Allen Hamilton•Dayton, OH

10d•Remote

About The Position

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.

Requirements

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 To Haves

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

Responsibilities

Develop and deploy the pipelines and platforms that organize and make disparate data meaningful.
Work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
Support the assessment, design, developing, and maintenance of scalable platforms for clients.
Implement monitoring tools to maintain data integrity, fix broken pipelines, and handle missing or corrupt information.
Design scalable data lake, warehouse, and analytics solutions.
Integrate AI/ML capabilities into production workflows or operator tooling, such as LLM enabled assistants, model augmented decision aids, or automation solutions.