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Description

Senior Data Engineer

Role Summary

As a Senior Data Engineer, you will design, develop, and support scalable data solutions that enable critical business capabilities across Citizens. You will partner with architects, data engineers, analysts, and business stakeholders to build and maintain data pipelines, data models, and platform capabilities that help drive analytics, operational insights, AI initiatives, and business decision making.

This role requires a strong foundation in modern data engineering practices across cloud platforms, distributed data systems, data integration, and data modeling. Experience with graph database technologies such as Neo4j is highly valued, particularly for connected data use cases involving relationship analysis, knowledge graphs, and advanced data discovery.

Key Responsibilities

• Design, build, and maintain scalable data pipelines supporting batch and real time processing workloads.
• Develop and optimize data integration solutions across multiple enterprise data sources and platforms.
• Design and implement data models supporting analytics, reporting, operational, and AI driven use cases.
• Build and maintain data products that improve accessibility, quality, and usability of enterprise data.
• Partner with business and technology stakeholders to translate requirements into scalable data solutions.
• Contribute to modern cloud based data architecture and platform modernization initiatives.
• Support graph data capabilities and connected data use cases utilizing technologies such as Neo4j where appropriate.
• Develop APIs, services, and integration patterns that enable secure and efficient access to enterprise data.
• Monitor and optimize data platform performance, reliability, availability, and scalability.
• Establish and promote best practices for data engineering, data quality, testing, and operational support.
• Collaborate with data science and analytics teams to support machine learning, AI, and advanced analytics initiatives.

Preferred Technical Expertise

• Strong experience building enterprise scale data pipelines and data platforms.
• Expertise with modern data engineering technologies such as Spark, Databricks, Kafka, Snowflake, Azure Data Services, AWS Data Services, or similar platforms.
• Strong proficiency in SQL and Python.
• Experience with relational and non relational database technologies.
• Experience with graph databases such as Neo4j is preferred.
• Knowledge of data modeling, data governance, metadata management, and data quality practices.
• Experience supporting both batch and streaming data architectures.
• Familiarity with cloud native architectures and distributed systems.
• Understanding of data integration patterns, APIs, and event driven architectures.
• Experience supporting AI, machine learning, or advanced analytics workloads.
• Business Outcomes and Impact
• Deliver scalable, reliable, and governed data solutions that support strategic business initiatives.
• Improve access to trusted data for analytics, reporting, and operational decision making.
• Enhance customer, risk, and operational insights through integrated and connected data solutions.
• Enable AI and machine learning capabilities through high quality and well managed data assets.
• Improve data quality, consistency, lineage, and discoverability across the enterprise.
• Support fraud detection, network analysis, and relationship driven use cases through graph and connected data technologies.

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field.
• 5+ years of experience in data engineering, software engineering, or data platform development.
• Experience developing and supporting enterprise data platforms in cloud environments.
• Experience with graph technologies, Neo4j, knowledge graphs, or connected data architectures preferred.
• Experience working in Agile environments and collaborating across cross functional teams.
• Strong problem solving, communication, and stakeholder management skills.

Work Details

Hours per Week 40
Location Hybrid, 4 days on site from a Citizens corporate office, 1 day remote
Schedule Monday through Friday

Pay Transparency

The salary range for this position is $105,000-158,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.  

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.

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Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.