Senior Backend & Data Platform Engineer (Java, SQL, Snowflake)

DTCC • Jersey City, NJ

7d • Hybrid

About The Position

Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
• 6–8+ years of experience in backend engineering, data platforms, or SQL-heavy application development roles.
• Strong, hands-on experience with Java/J2EE, including modern Java (17+) and Spring Boot.
• Strong proficiency in SQL, including performance tuning and optimization for both transactional and analytical workloads.
• Solid hands-on experience with Snowflake, supporting analytics, reporting, or data platform development.
• Strong experience building and consuming RESTful services and working in microservices-based architectures.
• Hands-on expertise with Oracle SQL and PL/SQL to support enterprise data systems.
• Experience working with BI/reporting tools such as Power BI or Tableau.
• Understanding of data warehousing, ETL concepts, and analytics workflows.
• Practical understanding of how databases and SQL enable analytics and AI use cases, including feature generation and inference access patterns.
• Strong debugging, problem-solving, and cross-team collaboration skills.

Nice To Haves

• Experience with AWS or Azure cloud platforms.
• Hands-on exposure to Docker, Kubernetes, and OpenShift.
• Experience supporting Director-level and senior stakeholders.
• Exposure to AI-enabled analytics, forecasting, or anomaly detection solutions (enablement/support focus).
• Familiarity with LLM-enabled analytics tools (e.g., natural-language-to-SQL, intelligent dashboards) in governed, read-only environments.

Responsibilities

• Design, develop, and support backend applications using Java (17+) and Spring Boot, delivering scalable, high-quality services.
• Develop, maintain, and optimize SQL-based data solutions across Oracle and Snowflake environments to support application functionality, analytics, and reporting.
• Design and optimize Snowflake-based data models and SQL workloads used for analytics, reporting, and emerging AI-enabled use cases.
• Build, tune, and maintain complex SQL and PL/SQL objects, including tables, views, packages, procedures, and triggers.
• Design and consume RESTful APIs within a microservices-based and distributed systems architecture.
• Partner with analytics and business teams to support reporting and BI solutions using Snowflake, Power BI, and/or Tableau.
• Enable analytics and AI workflows by preparing curated, high-quality datasets and performant SQL access patterns.
• Support analytics pipelines consumed by Python-based tools (e.g., pandas, NumPy, scikit-learn) from a data enablement perspective.
• Leverage AI-assisted development tools (e.g., GitHub Copilot, CodeWhisperer, similar) to improve development efficiency and code quality across Java and SQL.
• Apply automated testing, static analysis, and code quality tooling within CI/CD pipelines to ensure reliability and maintainability.
• Implement data validation, quality checks, and anomaly detection logic to ensure trusted analytics and insights.
• (Preferred) Support containerized applications using Docker, Kubernetes, and OpenShift in cloud environments.

Benefits

• Competitive compensation, including base pay and annual incentive
• Comprehensive health and life insurance and well-being benefits, based on location
• Pension / Retirement benefits
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree