Data Engineer

Booz Allen Hamilton•McLean, VA

28d•$77,600 - $176,000•Remote

About The Position

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. 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.

Requirements

3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data
3+ years of experience with Python, SQL, Scala, or Java
3+ years of experience building scalable ETL/ELT workflows for reporting and analytics
Experience creating solutions within a collaborative and cross-functional team environment
Experience using version control tools such as GitLab, GitHub, or Bitbucket
TS/SCI clearance
HS diploma or GED
Ability to obtain a Security+ Certification within 30 days of start date

Nice To Haves

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 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 Databricks
Experience with data warehousing using AWS Redshift, MySQL, or Snowflake
Experience with Agile engineering practices
Bachelor's degree in a Data or IT related field
Security+ Certification

Responsibilities

Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
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 teams to scale, monitor, and operate data platforms.