Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before, and Booz Allen needs an experienced data engineer to help clients find answers in their data to impact important missions
Requirements
- Experience with SQL and a general-purpose programming language such as Python, Java, TypeScript, or C++
- Experience with creating programs for retrieving, parsing, and processing structured and unstructured data
- Experience working with digital engagement metric tools such as Google Analytics
- Experience with developing scalable ETL and ELT workflows for reporting and analytics
- Experience with Palantir Foundry
- Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
- Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
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 clients
- use experience in analytical exploration and data examination
- develop scripts and programs for converting various types of data into usable formats
- support project team to scale, monitor, and operate data platforms
- create programs for retrieving, parsing, and processing structured and unstructured data
- develop scalable ETL and ELT workflows for reporting and analytics
Other
- Top Secret clearance
- Bachelor’s degree
- Ability to work in a fast-paced, agile environment
- Ability to work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers
- TS/SCI clearance preferred
