Remote Azure Data Engineer: Scalable Data Pipelines

Booz Allen Hamilton

McLean (VA)

Hybrid

USD 62,000 - 141,000

Full time

4 days ago

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Job summary

Booz Allen Hamilton in McLean, VA is seeking a data engineer to build pipelines and platforms that organize data from disparate sources for analytics on mission-driven projects. You will join a cross-functional team of analysts, engineers, and data consumers in an agile environment, shaping design, development, and maintenance of scalable data systems.

Role emphasizes turning data into insights to support fraud detection, cancer research, and national intelligence; 3+ years in ETL/ELT with Azure

Qualifications

3+ years building scalable ETL/ELT pipelines for reporting and analytics.
3+ years direct development using Azure services (Synapse, Data Factory, etc.).
Experience with ingestion pipelines from REST APIs, databases, event streams, SaaS apps.
Experience with data modeling and medallion-architecture Lakehouse designs.
Mentoring junior engineers and contributing to standards.
Familiarity with monitoring/alerting tools like Azure Monitor or Dynatrace.
Ability to obtain/maintain a Public Trust or Suitability.

Responsibilities

Build and deploy pipelines and platforms that organize and make data meaningful.
Work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers.
Support assessment, design, development, and maintenance of scalable platforms for clients.
Help clients find answers in their data to impact missions (fraud detection, cancer research, national intelligence).
Contribute to data engineering standards and best practices.