Data Engineer

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.

Responsibilities:

• Design, implement, and maintain cloud data infrastructure within Azure, using automation and infrastructure-as-code practices to improve consistency and scalability.
• Build and enhance enterprise data pipelines for ingestion, transformation, and processing using Databricks, Apache Spark, and Azure Data Factory.
• Provide technical leadership for cloud data platforms by driving architecture decisions that strengthen availability, performance, and long-term scalability.
• Collaborate daily with offshore and international engineering teams to align on development priorities, review code, and share technical knowledge across time zones.
• Participate actively in Agile ceremonies such as sprint planning, stand-ups, backlog refinement, readiness reviews, and retrospectives to support predictable delivery.
• Mentor data engineers through coaching, design guidance, and code review feedback that promotes high engineering standards.
• Support production operations by investigating incidents, resolving system bottlenecks, and leading root-cause analysis to improve platform reliability.
• Create and maintain architecture documentation, operational runbooks, and technical decision records to support distributed team execution.