Data Engineer

Booz Allen Hamilton•Bremerton, WA

About The Position

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.

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 / 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

Nice To Haves

Experience with Python, SQL, Scala, RDS, Aurora, DynamoDB, Lambda, EC2, SQS / SNS, S3, IAM, CloudFormation, Step Functions, and Java
Experience with UNIX / Linux, including basic commands and Shell scripting
Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
Experience working on real-time data and streaming applications
Experience with NoSQL implementation, including MongoDB or Cassandra
Experience with data warehousing using AWS Redshift, MySQL, or Snowflake
Experience with Agile engineering practices
TS/SCI clearance with a polygraph

Responsibilities

Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
Manage the assessment, design, building, and maintenance of scalable platforms for clients.
Create software for retrieving, parsing, and processing structured and unstructured data.
Build scalable ETL/ELT workflows for reporting and analytics.
Develop scripts and programs for converting various types of data into usable formats.
Support project teams to scale, monitor, and operate data platforms.