Senior Data Engineer: AI-Ready Data & GenAI Pipelines

Citizens; Johnston (RI); On-site; USD 120,000 - 180,000; Full time

Job summary

Citizens is seeking a Senior Data Engineer to design and maintain scalable data pipelines, enabling AI-ready data foundations for analytics, ML, and GenAI workloads. You will collaborate with data scientists, architects, and product teams to build secure, governed data platforms supporting large-scale financial data operations.

The role emphasizes production-grade code, data modeling, and implementing metadata, lineage, governance, and compliance across enterprise data frameworks.

Qualifications

• 6-8+ years of experience in data engineering and distributed data processing technologies.
• Hands-on experience with streaming technologies such as Apache Spark, Beam, or Flink.
• Experience with message brokers such as Apache Kafka.
• Experience working with microservices and batch processing systems.
• Strong programming skills in Java and/or Scala; Python experience preferred.
• Strong SQL development and performance optimization skills.
• Relational databases (Redshift, PostgreSQL, Snowflake) and NoSQL (MongoDB).
• CI/CD pipelines and version control systems such as Bitbucket and Git.
• ETL tools such as Talend or DataStage are a plus.
• Java Spring Boot; familiarity with React, TypeScript, or Angular is a plus.
• Cloud data processing with AWS and/or Azure experience preferred.
• Experience with AI/GenAI concepts and LLM-based applications.
• Governance, security, and compliance in regulated environments.
• Workflow orchestration and MLOps/LLMOps exposure.

Responsibilities

• Design, build, and maintain data pipelines to acquire, transform, and store large datasets.
• Develop pipelines to collect and compute metrics from financial data sources while ensuring quality.
• Contribute to architecture and data framework patterns with engineers and architects.
• Collaborate with cross-functional teams to deliver data solutions meeting business needs.
• Develop production-ready, high-quality code.
• Apply database design principles and data modeling for scalable solutions.
• Develop and optimize data models for analytics, ML, and AI use cases.
• Support enterprise data frameworks and reusable capabilities across the organization.
• Identify opportunities to improve existing frameworks and build reusable components.
• Troubleshoot data-related issues; perform unit testing and support UAT and deployment.
• Follow change management and compliance standards.
• Build pipelines and platform capabilities that support AI, GenAI, and agentic AI use cases.
• Develop governed, high-quality datasets for ML/LLM and automation.
• Create pipelines for structured, semi-structured, and unstructured data to support GenAI capabilities like semantic search and retrieval-augmented generation.
• Partner with data scientists and product teams to integrate AI/GenAI into platforms and workflows.

Skills

Spark/Beam/Flink

Apache Kafka

Java/Scala

Python

SQL

Redshift/PostgreSQL/Snowflake

MongoDB

CI/CD (Bitbucket/Git)

Talend/DataStage

Spring Boot

React/TypeScript/Angular

AWS/Azure

LLM/GenAI concepts

Education

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

Tools

Talend

DataStage

Bitbucket

Git

Job description

Citizens is seeking a Senior Data Engineer to design and maintain scalable data pipelines, enabling AI-ready data foundations for analytics, ML, and GenAI workloads. You will collaborate with data scientists, architects, and product teams to build secure, governed data platforms supporting large-scale financial data operations.

The role emphasizes production-grade code, data modeling, and implementing metadata, lineage, governance, and compliance across enterprise data frameworks.