Data Engineer

Booz Allen Hamilton•Norfolk, VA

13h

About The Position

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l 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

3+ years of experience utilizing programming languages, including Python
2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
Experience creating sof tware for retrieving, parsing, and processing structured and unstructured data
Experience developing scalable and automated ETL or ELT workflows for reporting and analytics
Experience creating solutions within a collaborative, cross-functional team environment
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 clearance
Bachelor’s degree in a Computer Science, Analytics, or Mathematics field

Nice To Haves

Experience in application development utilizing SQL or Scala
Experience with a public cloud, including AWS, Micro sof t Azure, or Google Cloud
Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
Experience working on real-time data and streaming applications
Experience with NoSQL implementation using MongoDB or Cassandra
Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake
Experience with UNIX or Linux, including basic commands and Shell scripting
Experience with Agile engineering practices