Remote Data Engineer - Scalable Pipelines & Cloud Infra

Cognyte; Northern (KY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Cognyte is seeking a hands-on Data Engineer to join the Delivery team. You will design and operate large-scale data pipelines across cloud and on-prem environments, working with Java, Python, Kafka, and Kubernetes to deliver scalable data platforms.

The role emphasizes distributed systems, SQL/NoSQL data stores, and production-grade pipelines, with opportunities to collaborate with customers and engineering teams worldwide.

Qualifications

• 5+ years of experience in Data Engineering, Software Engineering, or Platform Engineering.
• Hands-on experience with Kubernetes and containerized applications (Docker).
• Experience with cloud platforms (AWS, GCP, or other public cloud).
• Experience supporting hybrid cloud and on-premises environments.
• Solid understanding of distributed systems and multithreaded applications.
• Experience with SQL and NoSQL databases.
• Experience building and operating production-grade data pipelines.
• Strong troubleshooting and operational skills.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, and maintain large-scale data ingestion, transformation, and enrichment pipelines.
• Build and operate distributed data processing services using Java, Python, Kafka, and related ecosystems.
• Design scalable, resilient, and high-performance data architectures.
• Develop and optimize data models for analytics, search, graph, and operational workloads.
• Deploy and manage applications across Kubernetes-based environments.
• Work with cloud-native services in AWS and/or GCP while supporting hybrid and on-prem deployments.
• Partner with customers, integration teams, and solution architects to deliver successful implementations.
• Monitor, troubleshoot, and optimize platform performance, reliability, and scalability.
• Contribute to infrastructure automation, CI/CD processes, and platform engineering initiatives.
• Ability to travel domestically and internationally as needed for customer engagements.

Skills

Java

Python

Kubernetes

Docker

Kafka

SQL

NoSQL

Distributed systems

CI/CD

Cloud platforms

Tools

AWS

GCP

Azure

Job description

Cognyte is seeking a hands-on Data Engineer to join the Delivery team. You will design and operate large-scale data pipelines across cloud and on-prem environments, working with Java, Python, Kafka, and Kubernetes to deliver scalable data platforms.

The role emphasizes distributed systems, SQL/NoSQL data stores, and production-grade pipelines, with opportunities to collaborate with customers and engineering teams worldwide.