Data Engineer

Booz Allen Hamilton • Mclean, VA

2d

About The Position

Booz Allen is seeking an experienced Data Engineer to help clients organize structured and unstructured data and build advanced technology solutions for mission-driven projects. The role involves developing and deploying pipelines and platforms that make data from disparate sources meaningful, and collaborating with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. The Data Engineer will use analytical exploration and data examination to assess, design, build, and maintain scalable platforms.

Requirements

• 5+ years of experience in front-end application development.
• 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data.
• 2+ years of experience manipulating data in Elastic and creating custom data feeds.
• 2+ years of experience with scalable ETL/ELT workflows for reporting and analytics.
• Experience creating solutions within a collaborative, cross-functional team environment.
• Experience with web development to develop a controllable front end.
• Knowledge of the ETL pipeline.
• Ability to develop scripts and programs for converting various types of data into usable formats and support a project team in scaling, monitoring, and operating data platforms.
• Active TS/SCI clearance.
• Bachelor's degree.

Nice To Haves

• Experience with Python, SQL, Scala, or Java.
• Experience with UNIX and Linux, including basic commands and Shell scripting.
• Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud.
• Experience with distributed data and 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

• Develop and deploy data pipelines and platforms that organize data from disparate sources.
• Create software to retrieve, parse, and process structured and unstructured data.
• Manipulate data in Elastic and create custom data feeds.
• Build scalable ETL/ELT workflows for reporting and analytics.
• Develop web applications with a controllable front end.
• Write scripts and programs to convert different types of data into usable formats.
• Support the project team in scaling, monitoring, and operating data platforms.
• Collaborate with analysts, data engineers, developers, and data consumers.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level