Data Engineer

Booz Allen Hamilton is hiring a Data Engineer to build advanced technology solutions and implement data engineering activities on mission-driven projects. The role develops and deploys data pipelines and platforms and supports the design, development, and maintenance of scalable client platforms.

Responsibilities

• 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, development, and maintenance of scalable platforms for your clients

Preferred

• Experience in application development utilizing SQL or Scala
• Experience with a public cloud, including AWS, Microsoft 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
• TS/SCI clearance with a polygraph
• Application Development
• SQL
• Scala
• Public Cloud
• AWS
• Microsoft Azure
• Google Cloud
• Distributed Computing
• Spark
• Databricks
• Hadoop
• Hive
• AWS EMR
• Kafka
• Real-Time Data
• Streaming Applications
• NoSQL Implementation
• MongoDB
• Cassandra
• Data Warehousing
• AWS Redshift
• MySQL
• Snowflake
• UNIX
• Shell Scripting
• Agile Engineering Practices

Benefits

• Health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; and dependent care. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.
• Recognition awards program acknowledging employees for exceptional performance and superior demonstration of Booz Allen’s values.

Company

• Advanced technology consulting for civil, defense, and national security missions
• Mclean, Virginia, USA
• http://www.boozallen.com/
• Founded in 1914
• 10001+ employees

Qualifications

• 2+ years of experience using Python
• 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
• Experience using programming languages, including C++, Java, or Linux
• Experience creating software for retrieving, parsing, and processing structured and unstructured data
• Experience developing scalable 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
• Secret clearance is required
• Experience in application development utilizing SQL or Scala
• Experience with a public cloud, including AWS, Microsoft 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
• TS/SCI clearance with a polygraph

Required skills

• Python, Scalable data stores, C++, Java, Linux, Structured and unstructured data processing, ETL/ELT workflows, SQL, AWS, Microsoft Azure, Google Cloud

Preferred skills

• Experience in application development utilizing SQL or Scala, Experience with Agile engineering practices, TS/SCI clearance with a polygraph

Experience

• 2+ years