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 at Booz Allen
Requirements
- 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 with Python, SQL, Scala, or Java
- Experience with UNIX or Linux, including basic commands and Shell scripting
- Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
Responsibilities
- deploy and develop pipelines and platforms that organize and make disparate data meaningful
- manage the assessment, design, building, and maintenance of scalable platforms for your clients
- develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms
- building scalable ETL or ELT workflows for reporting and analytics
- creating software for retrieving, parsing, and processing structured and unstructured data
- designing, developing, operationalizing, and maintaining complex data applications at enterprise scale
- guiding a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment
Other
- Secret clearance
- Bachelor’s degree
- Ability to work in a collaborative, cross-functional team environment
- TS/SCI clearance with a polygraph
- Experience working on real-time data and streaming applications
