Platform and Data Engineer

Booz Allen Hamilton • Honolulu, HI

1d • $61,900 - $141,000

About The Position

At Booz Allen, the Platform and Data Engineer helps clients organize data from disparate sources and develop advanced technology solutions for mission-driven projects. The role involves building and deploying pipelines and platforms that make diverse data meaningful, supporting missions such as fraud detection, cancer research, and national intelligence.

The engineer works with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. Responsibilities include assessing, designing, developing, and maintaining scalable client platforms, as well as exploring and examining data to support analysis and mission outcomes.

Requirements

• At least 2 years of experience using programming languages such as C++, Java, or Python.
• At least 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 developing scalable ETL/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 data types into usable formats and support scaling, monitoring, and operating data platforms.
• Secret clearance.
• Bachelor’s degree.

Nice To Haves

• Experience in application development using 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 implementing NoSQL solutions 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.

Responsibilities

• Build and deploy data pipelines and platforms that organize disparate data and make it meaningful.
• Develop and maintain scalable data stores that provide big data in forms needed for business analysis.
• Create software for retrieving, parsing, and processing structured and unstructured data.
• Develop scalable ETL/ELT workflows for reporting and analytics.
• Create scripts and programs to convert different types of data into usable formats.
• Support project teams in scaling, monitoring, and operating data platforms.
• Contribute to the assessment, design, development, and maintenance of scalable 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: Entry Level