Data Engineer

Booz Allen Hamilton•Arlington, VA

10d•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 a data professional 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 use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, development, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait.

Requirements

2+ years of experience utilizing programming languages, including Python, SQL, and R
2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
Experience developing scalable ETL or ELT workflows for reporting and analytics
Experience with Databricks
Ability to manage and organize large datasets, including structured, semi-structured, and unstructured data, while ensuring data quality, security, and governance
Ability to develop and manage data pipelines to support enterprise-level analytics, reporting, and machine learning projects
Ability to develop scripts and programs for converting various types of data into usable formats
Ability to support project team to scale, monitor, and operate data platforms
Secret clearance
Bachelor’s degree

Nice To Haves

Experience with War Data Platform
Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
Experience working on real-time data and streaming applications
Experience with Agile engineering practices
Ability to explore and contribute to data modeling, feature engineering, and other pre-processing work required for advanced analytics
Ability to support exploratory data analysis on large datasets to uncover trends, patterns, and actionable insights
TS/SCI clearance

Responsibilities

Develop and deploy the pipelines and platforms that organize and make disparate data meaningful.
Work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
Support the assessment, design, development, and maintenance of scalable platforms for clients.
Develop and maintain scalable data stores that supply big data in forms needed for business analysis.
Develop scalable ETL or ELT workflows for reporting and analytics.
Manage and organize large datasets, including structured, semi-structured, and unstructured data, while ensuring data quality, security, and governance.
Develop and manage data pipelines to support enterprise-level analytics, reporting, and machine learning projects.
Develop scripts and programs for converting various types of data into usable formats.
Support project team to scale, monitor, and operate data platforms.
Contribute to data modeling, feature engineering, and other pre-processing work required for advanced analytics.
Support exploratory data analysis on large datasets to uncover trends, patterns, and actionable insights.