Senior Data Engineer: Graph-Driven Pipelines & AI

Citizens Bank; Phoenix (AZ); Hybrid; USD 105,000 - 158,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Retirement benefits

Education reimbursement

Flexible work arrangements

Generous PTO

Job summary

Citizens Bank is seeking a Senior Data Engineer to design, develop, and support scalable data solutions across the enterprise. You will partner with architects, data engineers, analysts, and business stakeholders to build data pipelines, models, and platform capabilities that drive analytics, AI initiatives, and informed decision making.

This role requires a strong foundation in cloud data engineering, distributed systems, data integration, and modeling.

Qualifications

• Bachelor's degree in CS/Engineering, Information Systems, or related field.
• 5+ years of experience in data engineering or data platform development.
• Experience building enterprise data platforms in cloud environments.
• Experience with graph technologies like Neo4j preferred.

Responsibilities

• Design, build, and maintain scalable data pipelines for batch and real-time workloads.
• Develop and optimize data integration across enterprise sources.
• Design data models for analytics, reporting, and AI use cases.
• Build data products to improve data accessibility and quality.
• Collaborate with stakeholders to translate requirements into data solutions.
• Support cloud-based architecture and graph data capabilities.

Skills

Spark

Databricks

Kafka

Snowflake

Azure Data Services

AWS Data Services

SQL

Python

Neo4j

Data modeling

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field

Tools

Neo4j

Job description

Citizens Bank is seeking a Senior Data Engineer to design, develop, and support scalable data solutions across the enterprise. You will partner with architects, data engineers, analysts, and business stakeholders to build data pipelines, models, and platform capabilities that drive analytics, AI initiatives, and informed decision making.

This role requires a strong foundation in cloud data engineering, distributed systems, data integration, and modeling.