We are looking for an experienced Data Engineer to help design and support scalable cloud-based data platforms in Jacksonville, Florida. This role focuses on building resilient data solutions in Azure, improving end-to-end data processing, and helping ensure strong performance across distributed systems. You will work closely with global engineering partners, contribute technical direction, and support a reliable delivery model in an Agile environment.<br><br>Responsibilities:<br>• Design, implement, and maintain cloud data infrastructure within Azure, using automation and infrastructure-as-code practices to improve consistency and scalability.<br>• Build and enhance enterprise data pipelines for ingestion, transformation, and processing using Databricks, Apache Spark, and Azure Data Factory.<br>• Provide technical leadership for cloud data platforms by driving architecture decisions that strengthen availability, performance, and long-term scalability.<br>• Collaborate daily with offshore and international engineering teams to align on development priorities, review code, and share technical knowledge across time zones.<br>• Participate actively in Agile ceremonies such as sprint planning, stand-ups, backlog refinement, readiness reviews, and retrospectives to support predictable delivery.<br>• Mentor data engineers through coaching, design guidance, and code review feedback that promotes high engineering standards.<br>• Support production operations by investigating incidents, resolving system bottlenecks, and leading root-cause analysis to improve platform reliability.<br>• Create and maintain architecture documentation, operational runbooks, and technical decision records to support distributed team execution.

• 8+ years of software engineering experience delivering complex, enterprise-scale technology solutions.<br>• Strong Python expertise with hands-on experience in data engineering and distributed processing environments.<br>• Proven experience developing and orchestrating workflows with Azure Data Factory.<br>• Advanced working knowledge of Azure Databricks and Apache Spark for large-scale data processing.<br>• Solid understanding of cloud engineering principles, including security, networking, automation, and deployment practices.<br>• Experience working effectively with offshore or cross-cultural engineering teams across multiple time zones.<br>• Strong background in Agile delivery, CI/CD practices, and DevOps-oriented ways of working.<br>• Excellent troubleshooting and communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.

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