Data Engineer and Data Pipeline Specialist

Booz Allen Hamilton • Lexington, MA

1h • $61,900 - $141,000 • Hybrid

About The Position

As a data engineer at Booz Allen, you will help clients use data to support important missions, including fraud detection, cancer research, and national intelligence. You will build advanced technology solutions and implement data engineering activities, developing and deploying pipelines and platforms that organize data from disparate sources and make it useful.

You will work with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. The role supports the assessment, design, development, and maintenance of scalable client platforms, while providing opportunities to build skills in analytical exploration and data examination.

Requirements

• At least 2 years of experience utilizing 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 types of data into usable formats and support scaling, monitoring, and operation of 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 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.

Responsibilities

• Build advanced technology solutions and implement data engineering activities for mission-driven projects.
• Develop and deploy pipelines and platforms that organize disparate data and make it meaningful.
• Support the assessment, design, development, and maintenance of scalable client platforms.
• Create software for retrieving, parsing, and processing structured and unstructured data.
• Develop scalable ETL/ELT workflows for reporting and analytics.
• Develop scripts and programs that convert data into usable formats.
• Support project teams in scaling, monitoring, and operating data platforms.
• Collaborate with analysts, data engineers, developers, and data consumers in a cross-functional team environment.

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