Sr. Full Stack Data Engineer

Overview

We are seeking a Senior Full Stack Data Engineer to design, build, and support data-driven applications, APIs, and automation solutions for a large banking environment. This role combines front-end development, backend engineering, data integration, and cloud technologies to deliver scalable solutions that improve operational efficiency, data accessibility, and business decision-making.

Required Qualifications

• 7+ years of software engineering, data engineering, or application development experience.
• Strong SQL skills and hands-on experience with relational databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
• Experience developing modern web applications using React or Angular.
• Proficiency in Python and/or R for application development, data processing, and analytics.
• Experience building RESTful APIs and system integrations.
• Experience developing automation solutions using Python scripting, Power Automate, or similar tools.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong understanding of software development best practices, testing, and deployment methodologies.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience within banking, financial services, or other regulated industries.
• Experience building scalable integrations across internal and external platforms.
• Experience with Snowflake and modern cloud data platforms.
• Knowledge of data governance and data management tools, including Informatica.

Key Responsibilities

• Design, develop, and maintain data-driven applications and services that integrate with banking systems.
• Build modern user interfaces, dashboards, reporting tools, and workflow applications using React or Angular.
• Develop and maintain backend services, APIs, and integrations to support business and operational processes.
• Create and optimize data pipelines that ingest, transform, and harmonize data from multiple sources.
• Build automation frameworks and workflow solutions to reduce manual effort and improve operational efficiency.
• Develop and optimize SQL-based data models, queries, and reporting solutions.
• Leverage cloud technologies to support scalable and secure application development.
• Collaborate with product owners, data scientists, DevOps engineers, and QA teams to deliver end-to-end solutions.
• Ensure application performance, security, and regulatory compliance within a banking environment.
• Provide technical leadership, mentorship, and best-practice guidance to engineering team members.
• Support data governance and data management initiatives, including tools such as Informatica.