Data Engineer

Summary

Booz Allen Hamilton delivers advanced technology solutions for mission-driven clients across areas such as fraud detection, cancer research, and national intelligence. The Data Engineer will build and deploy data pipelines and platforms, develop scalable data engineering solutions, and organize disparate structured and unstructured data for meaningful analysis.

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, developing, and maintenance of scalable platforms for your clients
• Developing and maintaining scalable data stores that supply big data in forms needed for business analysis
• Creating software for retrieving, parsing and processing structured and unstructured data
• Developing scalable ETL and ELT workflows for reporting and analytics
• Creating solutions within a collaborative, cross-functional team environment
• Develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms

Skills

• 2+ years of experience utilizing programming languages, including C++, Java, or Python
• 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 with developing scalable ETL and 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
• Experience in application development utilizing SQL or Scala
• 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
• 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 and Linux, including basic commands and Shell scripting
• Experience with Agile engineering practices
• TS/SCI clearance with a polygraph

Qualifications

Must Haves

• 2+ years of experience utilizing programming languages, including C++, Java, or Python
• 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 with developing scalable ETL and 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 in application development utilizing SQL or Scala
• 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
• 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 and Linux, including basic commands and Shell scripting
• Experience with Agile engineering practices
• TS/SCI clearance with a polygraph

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program for exceptional performance and superior demonstration of our values
• 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