Booz Allen
DataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer at Booz Allen. Skills: Data Engineering, Data Pipelines, ETL/ELT, Cloud Platforms. Build advanced technology solutions. Implement data engineering activities”
Industry & Context.
Analytical exploration; Data examination
Secret clearance, TS/SCI clearance, Polygraph
What They're Looking For.
Must Have
7+ years of experience, 5+ years application development, 5+ years data applications, 3+ years data processing, 3+ years ETL or ELT workflows, Secret clearance, Bachelor's degree
Nice to Have
UNIX or Linux experience, Shell scripting experience, Public cloud experience, Distributed data tools experience, Real-time data experience, Streaming applications experience, NoSQL implementation experience, Data warehousing experience, Agile engineering practices experience, TS/SCI clearance with polygraph
What You'll Do.
Build advanced technology solutions
Implement data engineering activities
Organize disparate data
Guide multi-disciplinary teams
Manage building platforms
Manage maintenance platforms
Support scaling data platforms
Support monitoring data platforms
Support operating data platforms
How You'll Work.
Team & Collaboration
Multi-disciplinary teams; Cross-functional team; Agile environment
Process & Methodology
Agile environment
Full Job Description
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 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, 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. **You Have:** * 7+ years of experience in a professional work environment * 5+ years of experience in application development * 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale * 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data * 3+ years of experience building scalable ETL or ELT workflows for reporting and analytics * Experience creating solutions within a collaborative, cross-functional team environment * Experience with Python, Databricks, SQL, Scala, or Java * Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms * Secret clearan
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