Platform and Data Engineer

Booz Allen Hamilton•Honolulu, HI

1h•$61,900 - $141,000•Hybrid

About The Position

Booz Allen is seeking a data professional to build advanced technology solutions and implement data engineering activities on mission-driven projects. The role develops and deploys pipelines and platforms that organize disparate data and make it meaningful, supporting missions such as fraud detection, cancer research, and national intelligence. The engineer works with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. The role supports the assessment, design, development, and maintenance of scalable client platforms and involves analytical exploration and data examination.

Requirements

At least 2 years of experience using programming languages such as C++, Java, or Python.
At least 2 years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis.
Experience creating software for retrieving, parsing, and processing structured and unstructured data.
Experience developing scalable ETL/ELT workflows for reporting and analytics.
Experience creating solutions in a collaborative, cross-functional team environment.
Ability to develop scripts and programs to convert various types of data into usable formats and support scaling, monitoring, and operation of data platforms.
Secret clearance.
Bachelor’s degree.

Nice To Haves

Experience in application development using SQL or Scala.
Experience with a public cloud such as AWS, Microsoft Azure, or Google Cloud.
Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
Experience working on real-time data and streaming applications.
Experience implementing NoSQL using MongoDB or Cassandra.
Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake.
Experience with UNIX and Linux, including basic commands and shell scripting.
Experience with Agile engineering practices.
TS/SCI clearance with a polygraph.

Responsibilities

Build advanced technology solutions and implement data engineering activities.
Develop and deploy pipelines and platforms that organize disparate data and make it meaningful.
Assess, design, develop, and maintain scalable platforms for clients.
Create software to retrieve, parse, and process structured and unstructured data.
Develop scalable ETL/ELT workflows for reporting and analytics.
Write scripts and programs to convert different types of data into usable formats.
Support project teams in scaling, monitoring, and operating data platforms.
Collaborate with analysts, data engineers, developers, and data consumers.