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Senior Data Engineer – Enterprise Data Frameworks (Java Spark Focus)
Citizens • Westwood, United States
About the Role
Description
Senior Data Engineer – Enterprise Data Frameworks
Overview
The Enterprise Data Frameworks team is seeking a Senior Data Engineer with deep expertise in building scalable, high-performance data processing systems using Java, Apache Spark, and modern data engineering tools. This role is ideal for someone passionate about designing resilient data frameworks, optimizing distributed data pipelines, and enabling enterprise-grade data onboarding and automation.
As a Senior Data Engineer, you will lead the development of core components within our data frameworks, integrating Spark-based processing with backend services and APIs. You will collaborate with architects, data engineers, and business stakeholders to deliver secure, compliant, and high-performing solutions.
Primary Responsibilities
• Design and implement distributed data processing pipelines using Apache Spark (Java) for large-scale data ingestion, transformation, and analytics
Senior Data Engineer – Enterprise Data Frameworks
Overview
The Enterprise Data Frameworks team is seeking a Senior Data Engineer with deep expertise in building scalable, high-performance data processing systems using Java, Apache Spark, and modern data engineering tools. This role is ideal for someone passionate about designing resilient data frameworks, optimizing distributed data pipelines, and enabling enterprise-grade data onboarding and automation.
As a Senior Data Engineer, you will lead the development of core components within our data frameworks, integrating Spark-based processing with backend services and APIs. You will collaborate with architects, data engineers, and business stakeholders to deliver secure, compliant, and high-performing solutions.
Primary Responsibilities
• Design and implement distributed data processing pipelines using Apache Spark (Java) for large-scale data ingestion, transformation, and analytics
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