Data Engineer

Booz Allen Hamilton • McLean, VA

3d • $77,600 - $176,000 • Onsite

About The Position

As a Data Engineer at Booz Allen, you will build advanced technology solutions and implement data engineering activities on mission-driven projects. You will develop and deploy pipelines and platforms that organize disparate data and make it useful to clients working on missions such as fraud detection, cancer research, and national intelligence. In a fast-paced, agile environment, you will collaborate with and guide analysts, data engineers, developers, and data consumers. You will apply analytical exploration and data examination skills while assessing, designing, building, and maintaining scalable platforms. The position is located in McLean, Virginia, and is not listed as remote.

Requirements

• At least 5 years of experience in front-end application development.
• At least 3 years of experience creating software to retrieve, parse, and process structured and unstructured data.
• At least 2 years of experience manipulating data in Elastic and creating custom data feeds.
• At least 2 years of experience with scalable ETL/ELT workflows for reporting and analytics.
• Experience creating solutions in 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 to support scaling, monitoring, and operation of data platforms.
• 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 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 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

• Build advanced technology solutions and implement data engineering activities on mission-driven projects.
• Develop and deploy pipelines and platforms that organize disparate data and make it meaningful.
• Collaborate with and guide a multidisciplinary team of analysts, data engineers, developers, and data consumers.
• Assess, design, build, and maintain scalable client platforms.
• Create scripts and programs to convert different types of data into usable formats.
• Support project teams in scaling, monitoring, and operating data platforms.

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