Note: The job is a remote job and is open to candidates in USA. Cognyte builds investigative solutions that help law enforcement, national security, and intelligence agencies turn massive, diverse data into actionable intelligence. The Data Engineer will design, develop, and operate scalable data pipelines and distributed services across cloud, hybrid, and on-premises environments, while supporting Kubernetes-based platforms, infrastructure automation, and customer implementations.
Responsibilities
- Design, develop, and maintain large-scale data ingestion, transformation, and enrichment pipelines
- Build and operate distributed data processing services using technologies such as 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-premises 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, workshops, and deployments
Skills
- Location: Remote - Must reside in EST or CST time zones
- 5+ years of experience in Data Engineering, Software Engineering, or Platform Engineering
- Strong programming experience in Java and/or Python
- Hands-on experience with Kubernetes and containerized applications (Docker)
- Experience working with AWS, GCP, or other public cloud platforms
- Experience supporting or operating 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
- Ability to travel domestically and internationally as needed for customer engagements, workshops, and deployments
- Experience designing and operating multi-cluster Kubernetes environments
- Experience with data platforms deployed in highly regulated or air-gapped on-premises environments
- Knowledge of networking, security, and cloud infrastructure best practices
- Experience working directly with customer-facing engineering teams
Benefits
- Remote work arrangement; must reside in EST or CST time zones
Company Overview