Data Engineer - Cloud Data Pipelines & ML Ops

Phase2 Technology; Aurora (CO); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Engineer to design, build, and optimize data pipelines and ML workflows across diverse data sources. You will work on mission-driven projects, deploying scalable data platforms and collaborating with cross-functional teams in a fast-paced, agile setting.

Required experience includes data pipelines, ETL development, PostgreSQL/Kafka, and AWS, with a focus on containerized, cloud-based pipelines and MLOps. A Top Secret clearance is required.

Qualifications

• 3+ years of experience with data pipelines, including data acquisition, data prep, and database architecture.

Responsibilities

• Develop and deploy data pipelines and platforms to organize data from multiple sources.
• Collaborate with data engineers, developers, and data consumers in an agile environment.
• Build end-to-end automated data and ML pipelines in the cloud.

Skills

Data pipelines

ETL development

PostgreSQL

Kafka

AWS

MLOps

Containerization

ML lifecycle

Security clearance

Education

Bachelor's degree

Tools

PostgreSQL

Kafka

Kafka Connect

Kafka Streams

NiFi

Terraform

Ansible

AWS

Job description

Booz Allen Hamilton is seeking a Data Engineer to design, build, and optimize data pipelines and ML workflows across diverse data sources. You will work on mission-driven projects, deploying scalable data platforms and collaborating with cross-functional teams in a fast-paced, agile setting.

Required experience includes data pipelines, ETL development, PostgreSQL/Kafka, and AWS, with a focus on containerized, cloud-based pipelines and MLOps. A Top Secret clearance is required.