Senior Data Engineer - Cloud Pipelines & MLOps

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

Job summary

Booz Allen Hamilton is seeking a Data Engineer to design and implement data pipelines, integrate data from multiple sources, and build scalable data and ML workflows on AWS in a Cloud environment. The role involves collaborating with engineers and data users in an agile team to deliver mission-driven outcomes.

Applicants should have 3+ years in data engineering, ETL, and databases (PostgreSQL or Kafka), plus a Top Secret clearance. A Bachelor’s degree is required.

Qualifications

• 3+ years of experience with data pipelines, including data acquisition, data prep, and database architecture.
• 3+ years of experience in ETL development using Java, Python, SQL, or Scala.
• 2+ years of experience with PostgreSQL or Kafka.
• Experience with AWS services.
• Experience with designing and implementing, containerizing, and deploying end-to-end automated data and ML pipelines, within a Cloud environment.
• Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem.
• Top Secret clearance.
• Bachelor’s degree.

Responsibilities

• Implement data engineering activities on mission-driven projects.
• Deploy and develop pipelines and platforms that organize data and make it meaningful.
• Collaborate with a multi-disciplinary team of data engineers, developers, and data consumers in an agile environment.
• Work to leverage data for impactful outcomes.

Skills

Data pipelines

ETL Development

Java

Python

SQL

Scala

PostgreSQL

Kafka

AWS

Cloud platforms

ML lifecycle

Top Secret clearance

Education

Bachelor's degree

Job description

Booz Allen Hamilton is seeking a Data Engineer to design and implement data pipelines, integrate data from multiple sources, and build scalable data and ML workflows on AWS in a Cloud environment. The role involves collaborating with engineers and data users in an agile team to deliver mission-driven outcomes.

Applicants should have 3+ years in data engineering, ETL, and databases (PostgreSQL or Kafka), plus a Top Secret clearance. A Bachelor’s degree is required.