Data Engineer

Booz Allen Hamilton•Chantilly, VA

4d•$77,600 - $176,000•Remote

About The Position

As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer 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 help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced and agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait.

Requirements

3+ years of experience designing cloud-native data platforms in AWS
2+ years of experience designing scalable data lake, warehouse, and analytics solutions
2+ years of experience with cloud migration and modernization efforts
2+ years of experience with the data pipelines, including data acquisition, data prep, and database architecture
Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards
Experience with non-relational and semi-relational databases
Experience creating software for retrieving, parsing, and processing structured and unstructured data
Experience with team lead functions, creating solutions within a collaborative and cross-functional team environment
TS/SCI clearance with a polygraph
Bachelor's degree in CS

Nice To Haves

Experience with Pyspark and Spark ecosystems such as Databricks and EMR
Experience evaluating data analytic or science technologies and platforms
Experience going through an A&A process or leading modifications
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 Source code management and integration such as GitHub
Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)
Experience with scripting languages such as Python and SQL
Experience with APIs development
AWS architecture Certifications such as Solution Architect Certification

Responsibilities

Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced and agile environment.
Manage the assessment, design, building, and maintenance of scalable platforms for clients.