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Defense Unicorns is seeking a Data Engineer to work remotely, focusing on designing data workflows and pipelines to support ETL/ELT processes while ensuring data quality and secure information exchange across AWS and on-premises environments. The role involves implementing systems engineering principles to enhance the reliability and scalability of data systems, including backup and recovery strategies. Candidates will work with data streaming technologies such as Kafka, Redpanda, and Kinesis on Kubernetes, emphasizing declarative definitions to simplify operations. Collaboration with a platform team is essential for implementing best practices in configuration management, security, and performance optimization. The position requires a minimum of five years of experience in building and maintaining production data pipelines and databases, as well as expertise in deploying data streaming solutions on Kubernetes. U.S. citizenship is mandatory due to the employer's government contracting status. The role is ideal for adaptable individuals who can take on evolving responsibilities and may require travel 6-10 times per year.
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