Data Engineer and Data Pipeline Specialist

Booz Allen Hamilton is hiring a Data Engineer and Data Pipeline Specialist to build advanced technology solutions and implement data engineering activities for mission-driven projects. The role develops and deploys pipelines and platforms, and supports the assessment, design, development, and maintenance of scalable data platforms.

Responsibilities

• As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources
• We need a data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence
• As a data engineer at Booz Allen, you’ll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry
• You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful
• Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment
• You’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients

Preferred

• Experience in application development utilizing 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
• Application Development
• SQL
• Scala
• Public Cloud
• AWS
• Microsoft Azure
• Google Cloud
• Distributed Data
• Spark
• Databricks
• Hadoop
• Hive
• AWS EMR
• Kafka
• Real-Time Data
• Streaming Applications
• NoSQL
• MongoDB
• Cassandra
• Data Warehousing
• AWS Redshift
• MySQL
• Snowflake
• UNIX
• Linux
• Shell Scripting
• Agile Engineering Practices

Benefits

• Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs, including health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Individuals that do not meet the 20-hours-a-week threshold are only eligible for select offerings, not inclusive of health benefits.
• Recognition awards program acknowledging employees for exceptional performance and superior demonstration of Booz Allen’s values.

Company

• Advanced technology consulting for civil, defense, and national security missions
• Mclean, Virginia, USA
• http://www.boozallen.com/
• Founded in 1914
• 10001+ employees

Qualifications

• 2+ years of experience utilizing programming languages, including C++, Java, or Python
• 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 within a collaborative, cross-functional team environment
• Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms
• Secret clearance
• Bachelor's degree
• Experience in application development utilizing 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

Required skills

• AWS, C++, ETL/ELT workflows, Java, Microsoft Azure, Python, SQL, Scala, Scalable data stores, Spark, Structured and unstructured data processing

Preferred skills

• Experience in application development utilizing SQL or Scala, Experience with Agile engineering practices, TS/SCI clearance

Experience

• 2+ years