Data Engineer

Booz Allen Hamilton•Wharton, NJ

10h•Remote

About The Position

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer 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 help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait.

Requirements

5+ years of experience in database management activities, including data validation, maintenance, and optimization
5+ years of experience developing and maintaining scripts and code for data processing and automation
3+ years of experience designing, developing, operationalizing and maintaining complex data applications at enterprise scale
3+ years of experience creating software or managing digital platform for retrieving, parsing and processing structured and unstructured data
3+ years of experience building scalable ETL and 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

Nice To Haves

Experience with Python, R, SQL, Scala, or Java
Experience with UNIX or Linux, including basic commands and Shell scripting
Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
Experience with Power BI, Tableau, or similar analytic and visualization tool
Experience with distributed data or computing tools, including 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 manufacturing and supply chain data analysis, including production, procurement, inventory, logistics, supplier, and operational performance data
Experience with Agile engineering practices
TS/SCI clearance with a polygraph

Responsibilities

Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
Manage the assessment, design, building, and maintenance of scalable platforms for clients.
Develop scripts and programs for converting various types of data into usable formats.
Support project team to scale, monitor and operate data platforms.