Job Summary We are seeking a Full Stack Engineer to design and develop a modern data analytics platform within a financial services environment. This role involves working across frontend, backend, and data layers to build scalable, secure, and high-performance applications that transform complex data into actionable insights. The ideal candidate will have strong experience in enterprise application development, data engineering, and modern web technologies. Key Responsibilities Design and develop full stack applications across frontend, backend, and data layers Build scalable data solutions using platforms such as Oracle and Snowflake Develop and optimize complex SQL queries for data analysis and reporting Design and implement backend services using Python and Spring Boot Develop responsive user interfaces using Angular, HTML, CSS, TypeScript, and related technologies Implement secure authentication and authorization mechanisms using OAuth, Azure Active Directory, and JWT Collaborate with cross-functional teams to translate business and data requirements into technical solutions Analyze system performance and optimize applications for scalability and efficiency Implement and maintain CI/CD pipelines and DevOps practices using tools such as Jenkins, Git, Artifactory, and SonarQube Support batch processing and orchestration using scheduling tools Participate in Agile development processes and contribute to continuous improvement Required Qualifications Strong experience in full stack development within enterprise or regulated environments Proficiency in backend development using Python and/or Java (Spring Boot) Experience with frontend technologies including Angular, HTML, CSS, TypeScript, and Node.js Strong experience with relational databases and SQL, including Oracle and Snowflake Understanding of authentication and authorization frameworks such as OAuth, Azure AD, and JWT Experience with DevOps and CI/CD tools such as Jenkins, Git, and related technologies Strong analytical, problem-solving, and communication skills Experience working in Agile development environments Preferred Qualifications Experience working with large-scale data platforms and analytics systems Familiarity with batch scheduling and orchestration tools such as AutoSys Experience in financial services or other regulated industries Strong interest in learning and adopting new technologies Education: Bachelors Degree
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: compun
- Position Id: PARDC5785920
- Posted 4 hours ago
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