Data Engineer

Booz Allen Hamilton•Usa, FL

12h

About The Position

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l 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

3+ years of experience in a data engineering or analytics engineering role in a professional work environment
2+ years of experience with developing and maintaining scalable data stores that supply big data in forms needed for business analysis
E xperience with SQL and a general-purpose programming language, such as Python, Jave, TypeScript, or C++
E xperience with creating programs for retrieving, parsing, and processing structured and unstructured data
Experience working with digital e nga gement metric tools, such as Google Analytics
Experience with developing scalable ETL and ELT workflows for reporting and analytics
Experience in 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 Palantir Foundry
Experience with a public cloud, including AWS, Micro sof t Azure, or Google Cloud
Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
Experience with natural language processing ( NLP ) or techniques for extracting insights from text and documents
Experience with working on real-time data and streaming applications, and 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
Bachelor’s degree in Computer Science, Mathematics, Sof tware Engineering, or Data Science preferred