Remote Data Engineer - Cloud Pipelines & MLOps

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

Benefits offered by this job

Health benefits

Life insurance

Disability benefits

Retirement plan

Tuition assistance

Work-life programs

Dependent care

Paid leave

Professional development

Job summary

Booz Allen Hamilton is hiring a Data Engineer to implement data engineering activities on mission‑driven projects. You will deploy and develop pipelines that organize disparate data and make it accessible and meaningful.

Join a multi-disciplinary team of data engineers, developers, and data consumers in a fast-paced, agile environment. Remote or on-site work options may apply as per project requirements.

Qualifications

• Bachelor’s degree required.
• Experience with data pipelines and data prep.
• ETL development using Java, Python, SQL, or Scala.
• Experience with AWS services.
• Experience building end-to-end automated data and ML pipelines in cloud.
• Top Secret clearance.

Responsibilities

• Develop data pipelines and platforms to organize and make data available and meaningful.
• Collaborate with data engineers, developers, and data consumers in an agile environment.
• Design, deploy, and operate end-to-end data and ML pipelines in cloud environments.
• Maintain and optimize data architectures for mission-driven projects.

Skills

Data pipelines

ETL development

AWS services

Cloud deployment

MLOps

Security clearance

Education

Bachelor's degree

Tools

Kafka

NiFi

Terraform

Ansible

Python

Java

Job description

Booz Allen Hamilton is hiring a Data Engineer to implement data engineering activities on mission‑driven projects. You will deploy and develop pipelines that organize disparate data and make it accessible and meaningful.

Join a multi-disciplinary team of data engineers, developers, and data consumers in a fast-paced, agile environment. Remote or on-site work options may apply as per project requirements.