Mission-Driven Data Engineer: Build AI-Ready Pipelines

Booz Allen Hamilton; Arlington (VA); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton in Arlington, VA seeks a data engineer to build and operate pipelines that organize disparate data into meaningful analytics. You will develop and deploy platforms to support missions from fraud detection to national intelligence.

You will join a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, sharpening skills in exploration and data examination while scaling data platforms for clients.

Qualifications

• 2+ years of experience within data engineering.
• 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis.
• Experience creating software for retrieving, parsing and processing structured and unstructured data.
• Experience with developing scalable ETL/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.

Responsibilities

• Develop and deploy the pipelines and platforms that organize and make disparate data meaningful.
• Support the assessment, design, developing, and maintenance of scalable platforms for your clients.
• Work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.

Skills

Data engineering

Data stores

Structured data

Unstructured data

ETL/ELT

Cross-functional team

Scripting

Education

Bachelor’s degree

Master’s degree

Tools

AWS EMR

Redshift

SageMaker

Databricks

SQL Data Warehouse

Job description

Booz Allen Hamilton in Arlington, VA seeks a data engineer to build and operate pipelines that organize disparate data into meaningful analytics. You will develop and deploy platforms to support missions from fraud detection to national intelligence.

You will join a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, sharpening skills in exploration and data examination while scaling data platforms for clients.