Be Part of a High-Performing Team

This position supports a major financial institution undergoing an extensive digital transformation to modernize its data ecosystem and cloud strategy. The organization is investing heavily in scalable, cloud-based platforms that can support advanced analytics, regulatory reporting, and mission-critical capital markets operations. You will join a team focused on delivering next-generation data capabilities across broker-dealer and swap-dealer business lines, working closely with both technology and market-facing groups. The environment is highly collaborative, growth-oriented, and aligned around building a unified, strategic data foundation that will power long-term innovation.

What’s In Store For You

This hybrid role offers the opportunity to work with modern Azure cloud technologies while contributing to the early phases of a multi-year data platform initiative. Engineers in this group gain exposure to complex financial datasets, enterprise cloud architecture, and cross-functional project teams, creating strong pathways for technical and professional development.

How You Will Make an Impact

• Build and enhance cloud-native data pipelines and services used across capital markets and securities teams.
• Contribute to the development of a strategic reference data system for securities, pricing, and future data domains.
• Design and implement ETL/ELT workflows that support high-volume, business-critical data flows.
• Develop APIs and integration components to deliver data to internal consumers and downstream systems.
• Collaborate with architecture, DevOps, and engineering teams to ensure solutions meet performance, reliability, and compliance requirements.
• Apply development standards and best practices to maintain consistency across cloud and data engineering initiatives.

Do You Bring Proven Success in Cloud-Based Data Engineering?

Required Skills & Experience

• 5–7 years of experience as a Data Engineer.
• Advanced experience with Azure cloud services, including Data Factory, Databricks, Data Lake Gen2, Azure Functions, and Azure databases.
• Strong SQL expertise working with relational or NoSQL systems.
• Hands-on development experience with Python, specifically building REST APIs (FastAPI or similar).
• Solid understanding of ETL and ELT methodologies.
• Proficiency with Git, Jenkins, and CI/CD workflows.
• Ability to collaborate in a hybrid model, working onsite in New York.

Preferred Qualifications

• Background in financial services or exposure to market data, asset classes, or securities reference data.
• Familiarity with Azure Data Fabric or API gateway management.
• Relevant Azure certifications (DP-203, Solutions Architect).
• Experience supporting large-scale cloud modernization efforts.