Senior Cloud Data Engineer — Large-Scale Analytics

SageCor Solutions; Fort Meade (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

SageCor Solutions seeks an experienced software engineer with TS/SCI w/ poly to drive cloud-based data processing initiatives. You will contribute to architecture, develop distributed systems, and optimize multi-node deployments in a high-security context.

Required are extensive Java/Python experience, cloud analytics, and proficiency with Hadoop ecosystems, RESTful services, and Kubernetes. Fort Meade area position with strong security requirements.

Qualifications

• 12+ years software engineering in large programs with similar scope.
• Degree requirements with substitutions allowed for cloud/big-data experience.
• Proven experience with cloud-based big-data systems and distributed computing.

Responsibilities

• Design and implement cloud-based, distributed data processing solutions.
• Lead multi-node cloud installations and performance optimization.
• Collaborate on architecture decisions for cloud computing systems.

Skills

Big-Data cloud technologies

Distributed Computing

Cloud Computing

MapReduce analytics

HDFS/HBase

Java

Python

RESTful services

Containerization/Kubernetes

VS & debugging cloud installations

Education

Bachelor's degree in Computer Science or related

Advanced degree substitution options

Tools

Cloudera

Hadoop

Kubernetes

CFEngine/Shell scripting

Jenkins/Maven

Job description

SageCor Solutions seeks an experienced software engineer with TS/SCI w/ poly to drive cloud-based data processing initiatives. You will contribute to architecture, develop distributed systems, and optimize multi-node deployments in a high-security context.

Required are extensive Java/Python experience, cloud analytics, and proficiency with Hadoop ecosystems, RESTful services, and Kubernetes. Fort Meade area position with strong security requirements.