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# Data Observability Engineer

- **Company:** OpenKyber LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Big Data, C Sharp (Programming Language), Information Engineering, Data Infrastructure, Data Systems, Distributed Systems, Python (Programming Language), Linux System Administration, Enterprise Messaging Systems, RabbitMQ, DataOps, Software Engineering, Data Logging, Snowflake, Backend, Containerization, Kubernetes, Google Bigquery, Apache Kafka, Terraform, Data Pipelines, Docker, Elk Stack, Confluent
- **Published:** October 11, 2026
- **Apply:** https://www.careerjet.com/jobad/us52cf7819bf7c7b463461bdc9366f3644

## About the Role

* 5+ years of experience in infrastructure and software engineering with exposure to data engineering and pipelines
 * Proficiency in C# and Python
 * Hands-on experience with Snowflake and/or Google BigQuery
 * Strong experience working in Linux/Unix environments and Docker
 * Experience building and maintaining data pipelines
 * Familiarity with distributed messaging systems such as Confluent Kafka or RabbitMQ
 * Ability to work independently in a remote environment while communicating effectively, * Experience with Elastic/ELK stack for logging and monitoring
 * Familiarity with Terraform for infrastructure as code
 * Experience with Kubernetes for container orchestration

## Description

About the role: Looking for a Data Operations Engineer to support and optimize data infrastructure and pipeline operations across high-volume, distributed systems. This role focuses on ensuring reliability, scalability, and performance of data workflows while collaborating with engineering teams to maintain production-grade systems. Key Responsibilities

 * Build, maintain, and optimize scalable data pipelines for high-throughput applications
 * Support operational health of data systems, ensuring reliability and uptime
 * Develop and enhance backend services using C# and Python
 * Manage and query large datasets in Snowflake and Google BigQuery environments
 * Deploy and maintain containerized applications using Docker in Linux-based systems
 * Integrate and manage streaming/data messaging systems such as Kafka (Confluent) and RabbitMQ
 * Monitor pipeline performance, troubleshoot issues, and implement improvements
 * Collaborate with cross-functional teams to ensure smooth data operations and deployments, * Reliable, efficient data pipeline operations with minimal downtime
 * Improved observability and monitoring of data systems
 * Timely resolution of production issues and performance bottlenecks
 * Well-documented systems and processes for maintainability

Work Environment
Fast-paced, engineering-driven culture Opportunity to work on modern data platforms and distributed systems
For applications and inquiries, contact:hirings@openkyber.com