Data Engineer

Booz Allen Hamilton • Huntsville, AL

1h • $77,500 - $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 data from disparate sources and make it useful. You will apply analytical exploration and data examination skills while assessing, designing, building, and maintaining scalable platforms for clients. You will work with and guide a multidisciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. The role supports client missions such as fraud detection, cancer research, and national intelligence.

Requirements

• At least 5 years of experience in application development.
• At least 5 years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale.
• At least 3 years of experience creating software to retrieve, parse, and process structured and unstructured data.
• At least 3 years of experience building scalable ETL and ELT workflows for reporting and analytics.
• Experience creating solutions in a collaborative, cross-functional team environment.
• Ability to develop scripts and programs to convert various types of data into usable formats and support scaling, monitoring, and operation of data platforms.
• Active TS/SCI clearance is required.
• Bachelor’s degree and at least 5 years of data engineering experience, or at least 7 years of data engineering experience in lieu of a degree.

Nice To Haves

• Experience with Maven Smart System or the Palantir Foundry Ecosystem.
• 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 client projects.
• Develop and deploy pipelines and platforms that organize disparate data and make it meaningful.
• Assess, design, build, and maintain scalable data platforms.
• Work with and guide a multidisciplinary team of analysts, data engineers, developers, and data consumers.
• Create scripts and programs to convert different types of data into usable formats.
• Support the project team 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