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Big Data Engineer (Google Cloud Platform, Java & Cloud Platforms)

Job

Select Jarvis.com

Sunrise, FL (In Person)

Full-Time

Posted 1 week ago (Updated 5 days ago) • Actively hiring

Expires 7/19/2026

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Job Description

Senior Big Data Engineer (Google Cloud Platform,Java & Cloud Platforms)
Location:
Sunrise, FL |
Job Type:
Full-Time / Contract About the
Role:
We are seeking a highly skilled Senior Big Data Engineer to design, develop, and support scalable data processing solutions. In this role, you will bridge the gap between complex data architecture and real-time streaming, leveraging a robust tech stack to drive enterprise-grade data engineering initiatives. What You ll
Be Doing:
Data Architecture:
Design and implement scalable big data pipelines and distributed systems.
Hands-on Development:
Perform end-to-end software development using Java to build high-performance data applications.
Streaming & Integration:
Build and manage real-time data streaming solutions utilizing Kafka.
Cloud Engineering:
Leverage cloud-native services within AWS and Google Cloud Platform ecosystems to host and optimize data processing environments.
System Optimization:
Troubleshoot performance bottlenecks, conduct code reviews, and ensure data integrity across large-scale distributed databases. What You Need to
Succeed:
Technical Experience:
Strong professional experience in Big Data engineering and Java application development.
Core Tech Stack:
Expert-level knowledge of Java and Kafka for building robust, real-time data integrations.
Cloud Proficiency:
Proven experience working within both AWS and Google Cloud Platform (Google Cloud Platform) cloud environments.
Data Systems:
Strong understanding of relational and NoSQL databases, along with big data processing frameworks.
Problem Solving:
Ability to translate complex business requirements into high-performance technical data solutions.
Communication:
Exceptional analytical skills with the ability to collaborate with cross-functional technical teams.
Preferred Qualifications:
Familiarity with CI/CD pipelines and automated testing for data workflows. Experience in designing and maintaining data lakes and warehouses. Ability to work independently with minimal oversight in a fast-paced environment.