Senior Data Engineer

The Senior Data Engineer is responsible for designing, developing, enhancing, and supporting enterprise applications that enable Financial Model Execution Platforms and related business capabilities within the Data Platform. This role requires strong full-stack development expertise across user interfaces, APIs, microservices, event-driven architectures, and database technologies.

The successful candidate will collaborate with product owners, business stakeholders, architects, and engineering teams to deliver scalable, secure, and high-performance solutions. In addition to hands-on development, this individual will provide technical leadership, mentor junior engineers, participate in architecture discussions, and support production systems through continuous improvement and operational excellence., * Design, develop, test, and deploy scalable full-stack applications using React.js, Java, Spring Boot, Node.js, Python, Kafka, and relational databases.

• Design and implement RESTful APIs, microservices, and event-driven solutions to support business and data processing requirements.
• Translate business requirements into technical designs and implementation plans.
• Build reusable components, application frameworks, and shared services to improve development efficiency.

Technical Leadership

• Lead and participate in architecture reviews, technical design discussions, and code reviews.
• Provide technical guidance and mentorship to junior developers and project teams.
• Establish and promote engineering best practices, coding standards, and development methodologies.

Analysis & Planning

• Analyze business and technical requirements and assess system impacts, dependencies, and risks.
• Provide effort estimates, technical recommendations, and implementation strategies for new initiatives and enhancements.
• Collaborate with solution architects, product owners, and stakeholders to define scalable solutions.

Application Support & Reliability

• Support production applications and troubleshoot complex issues across UI, middleware, messaging platforms, and databases.
• Monitor application performance and identify opportunities for optimization and automation.
• Participate in on-call rotations and incident management activities.

Quality & Continuous Improvement

• Develop automated units, integration, and regression tests.
• Drive continuous improvement initiatives related to application performance, security, reliability, and maintainability.
• Contribute to Agile ceremonies, sprint planning, retrospectives, and release activities.

Bachelor’s Degree and 4 years of experience in Software application development, Data engineering, cloud platforms

OR

High School Diploma or GED and 8 years of experience in Software application development, Data Integrations, cloud platforms

Preferred Area of Study: Computer Science, Information Systems, Data Science, or related field

Preferred Area of Experience: 5+ years of software engineering experience developing enterprise-scale applications.

Preferred Qualifications:

• Strong experience building web applications using React.js and JavaScript/TypeScript.
• Strong experience developing backend services using Java, Spring Boot, and microservices architecture.
• Experience implementing event-driven architecture using Kafka.
• Experience using Python for automation, data processing, or backend services.
• Advanced SQL development and database design experience with Oracle and Netezza.
• Experience designing and consuming REST APIs.
• Experience with GitLab, CI/CD pipelines, Jira, and Confluence.
• Experience working in Agile/Scrum environments.
• Excellent ability to communicate technical information clearly and work effectively with cross-functional teams
• Strong analytical and problem-solving skills
• Experience with cloud platforms (AWS) and container technologies such as Docker and Kubernetes is preferred.
• Experience within financial services, banking, risk, treasury, forecasting, or regulatory reporting environments is highly desirable.