Senior Data Engineer – Enterprise Data Frameworks

Citizens; Rhode Island; On-site; USD 120,000 - 160,000; Full time

Job summary

Citizens is seeking a Senior Data Engineer to lead the development of scalable data frameworks. You will design high-performance data processing systems using Java and Apache Spark, optimizing pipelines for large-scale data ingestion.

This role involves collaboration with architects and data engineers to deliver compliant solutions. The position offers an annual salary range of $120,000 to $160,000, with a focus on innovation in data engineering practices.

Qualifications

• 7+ years of experience in data engineering with strong proficiency in Java and Apache Spark.
• Experience building and optimizing Spark jobs for batch and streaming data.
• Solid understanding of data lake architectures and metadata-driven frameworks.

Responsibilities

• Design and implement distributed data processing pipelines using Apache Spark.
• Develop and maintain Java-based microservices and APIs.
• Collaborate with UI engineers for seamless user experiences.

Skills

Apache Spark

Java

Data engineering

Microservices architecture

RESTful APIs

CI/CD pipelines

Docker

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field

Tools

Spring Boot

Git

Kubernetes

AWS

Job description

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
• Develop and maintain Java-based microservices and APIs to support data workflows and framework orchestration
• Collaborate with UI engineers to integrate backend services with frontend applications for seamless user experiences
• Translate business and technical requirements into scalable data engineering solutions
• Optimize Spark jobs for performance, reliability, and cost-efficiency across cloud and on-prem environments
• Lead code reviews, mentor junior engineers, and contribute to architectural decisions
• Ensure compliance with data governance, security, and change management standards
• Participate in Agile ceremonies and drive continuous improvement in engineering practices

Required Skills and Experience

• 7+ years of experience in data engineering with strong proficiency in Java and Apache Spark
• Proven experience building and optimizing Spark jobs for batch and streaming data
• Solid understanding of data lake architectures, Iceberg/Parquet, and metadata-driven frameworks
• Experience with Spring Boot, RESTful APIs, and microservices architecture
• Familiarity with CI/CD pipelines, Git, and containerization (Docker/Kubernetes)
• Exposure to cloud platforms such as AWS (S3, EMR, Lambda, API Gateway) is a plus
• Experience working with data-centric applications and collaborating with frontend and platform teams

Good to have

• Experience with Generative AI tools or frameworks for developer assistance, metadata analysis, or automation

Education and Certifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field

Compensation

The salary range for this position is $120,000-160,000 per year.