Mid Data Engineer — Big Data for Good (Remote)

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

Job summary

Booz Allen Hamilton is seeking a Data Engineer to design, deploy, and maintain data pipelines and platforms that organize disparate data to empower mission-driven work in fraud detection, cancer research, and national intelligence.

You will work with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, guiding data engineering efforts and ensuring scalable data solutions that meet complex client requirements.

Qualifications

• Experience with SQL, Java, Python, and Spark for large-scale data processing.
• Experience handling highly structured data from multiple sources.
• Ability to join and query data across disparate tables.
• Knowledge of data types and data source integration.
• Modeling data to support mission requirements.
• TS/SCI clearance with polygraph required.
• Bachelor's degree required.

Responsibilities

• Design, build, and maintain data pipelines and platforms.
• Collaborate with analysts and developers in an agile environment.
• Guide multi-disciplinary teams on data engineering tasks.
• Ensure data is organized and accessible for clients' missions.
• Support big data projects across fraud detection and national intelligence.

Skills

SQL / Java / Python / Spark

Structured data

Data manipulation

Data modeling

TS/SCI with polygraph

Bachelor's degree

Education

Bachelor's degree

Job description

Booz Allen Hamilton is seeking a Data Engineer to design, deploy, and maintain data pipelines and platforms that organize disparate data to empower mission-driven work in fraud detection, cancer research, and national intelligence.

You will work with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, guiding data engineering efforts and ensuring scalable data solutions that meet complex client requirements.