Data Engineer

Booz Allen Hamilton•Tampa, FL

1d•Remote

About The Position

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 environment
2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
Experience with SQL and general-purpose programming languages such as Python, Jave, TypeScript, or C++
Experience creating programs for retrieving, parsing, and processing structured and unstructured data
Experience working with digital engagement metric tools such as Google Analytics
Experience developing 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 Palantir Foundry
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 with natural language processing (NLP) or techniques for extracting insights from text and documents
Experience 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 CS, Mathematics, Software Engineering, or Data Science

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.