Data and ML Engineer

Booz Allen Hamilton•McLean, VA

1d•$62,000 - $141,000

About The Position

As a Data and ML Engineer at Booz Allen, you will help clients use structured and unstructured data to support important missions, such as fraud detection, cancer research, and national intelligence. You will build advanced technology solutions and carry out data engineering activities, developing and deploying pipelines and platforms that organize disparate data and make it meaningful. You will work with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. The role includes analytical exploration and data examination, as well as supporting the assessment, design, development, and maintenance of scalable platforms for clients. Applicants must be able to obtain a Secret clearance and may be subject to a security investigation and eligibility requirements for access to classified information.

Requirements

At least 3 years of experience utilizing programming languages such as C++, Java, or Python.
Experience building and modernizing data pipelines.
Experience utilizing statistical methods to analyze data and communicating results to stakeholders.
Knowledge of AI modeling practices.
Ability to develop scripts and programs for converting various types of data into usable formats and support a project team in scaling, monitoring, and operating data platforms.
Ability to obtain a Secret clearance.
Bachelor's degree.

Nice To Haves

Experience with compliance-driven requirements.
Experience with a public cloud, such as AWS, Microsoft Azure, or Google Cloud.
Knowledge of software development or engineering practices.
Master's degree.

Responsibilities

Build and modernize data pipelines.
Develop and deploy pipelines and platforms that organize disparate data and make it meaningful.
Use statistical methods to analyze data and communicate results to stakeholders.
Develop scripts and programs to convert various types of data into usable formats.
Support the project team in scaling, monitoring, and operating data platforms.
Support the assessment, design, development, and maintenance of scalable client platforms.