Data Engineer and Data Pipeline Specialist

Booz Allen Hamilton•Lexington, MA

19h•$61,900 - $141,000

About The Position

Booz Allen is seeking a data professional to build advanced technology solutions and carry out data engineering activities on mission-driven projects. The role develops and deploys pipelines and platforms that organize disparate data and make it meaningful for clients working on missions such as fraud detection, cancer research, and national intelligence. The Data Engineer works in a fast-paced, agile, multidisciplinary environment with analysts, data engineers, developers, and data consumers. The position supports the assessment, design, development, and maintenance of scalable client platforms, and includes analytical exploration and data examination. Applicants must hold a Secret clearance and a bachelor's degree. The annualized projected compensation range is $61,900 to $141,000, with salary determined by factors including location, education, skills, experience, and organizational requirements. Booz Allen describes benefits that include health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. Eligibility for benefits varies by regular weekly hours.

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 that convert various types of data into usable formats and support project teams in 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 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 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 perform data engineering activities on mission-driven projects.
Develop and deploy pipelines and platforms that organize disparate data and make it meaningful.
Support assessment, design, development, and maintenance of scalable client platforms.
Create software to retrieve, parse, and process structured and unstructured data.
Develop scalable ETL/ELT workflows for reporting and analytics.
Develop scripts and programs to convert different types of 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 fast-paced, agile environment.