Data Engineer

Description

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.

Requirements

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

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