Banking Systems Data Engineer

Rockland Trust - Plymouth, MA

Full-time - Mid Level

Plymouth, MA

Credit Intermediation and Related Activities

About the position

The Banking & AI Data Engineer position at Rockland Trust Company is a full-time role focused on designing, developing, and maintaining data systems and AI solutions that support banking operations. This role is essential for ensuring the integrity and efficiency of data systems, contributing to the delivery of exceptional financial services. The ideal candidate will have expertise in banking systems data architecture, data warehousing, and data modeling, and will collaborate with cross-functional teams to meet business needs through effective data solutions.

Responsibilities

• Design, develop, and maintain robust data systems using IBS banking data and Snowflake data warehouse technology.
• Create, optimize, and maintain physical and logical data models to support efficient data storage, retrieval, and analysis.
• Collaborate with stakeholders to gather and analyze requirements for reporting, analytics, and AI, ensuring data solutions meet business needs.
• Design, develop, and implement data integration processes to ensure seamless data flow across systems and throughout downstream data consumption.
• Monitor and optimize data system performance, ensuring high availability, reliability, and security.
• Implement data quality checks and validation processes to maintain data integrity.
• Develop and maintain reporting, analytics, and AI solutions to support business decision-making.
• Create and maintain comprehensive documentation for data systems, processes, models, and architectures.
• Work closely with cross-functional teams, including IT, business analysts, and data scientists, to deliver integrated data solutions.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 6 years of experience in data engineering, with a focus on banking systems.
• Excellent knowledge of data warehouse and lake architecture design and implementation.
• Strong knowledge of physical and logical data modeling.
• Experience with SQL and other database management systems.
• Familiarity with data integration tools and techniques.
• Proficiency in data analysis, machine learning, Gen-AI, and reporting tools.
• Experience with big data engineering tools such as Spark, DBT, and Kafka.
• Proficiency in setting up MLOps and Gen AI infrastructure.
• Experience with design and deployment of AI-driven data quality and governance solutions.

Nice-to-haves

• Experience with cloud-based data solutions and cloud native and hybrid data architectures.
• FIS IBS banking systems detailed data structures experience.
• Knowledge of data governance and compliance standards.
• Certification in data engineering or related fields.

Benefits

• Competitive compensation with performance incentive awards
• Health Insurance
• Dental Insurance
• 401K and DC Plan for retirement
• LTD & Life Insurance
• Day Care Reimbursement
• Tuition Assistance for graduate and undergraduate programs
• Award-winning Wellness program