Data Engineer – Associate Payment Operations

As a Data Engineer – Associate Payment Operations within the Payments Operations organization at JPMorgan Chase, you will play a crucial role in providing data architecture leadership and strategy. This position is part of the Strategy, Innovation & Digitization Data team, where you'll be responsible for solutions data engineering use cases focused on data analytics, metrics, and insights across Payments Operations.

You'll be working in the Commercial & Investment Bank division, a global leader across banking, markets, securities services and payments. The role combines strategic thinking with hands-on data engineering, requiring both technical expertise and business acumen. You'll collaborate with product, analytics, and technology teams to drive solutions in the Data Domain Architecture space.

The position offers an exciting opportunity to work with cutting-edge technologies while solving complex data challenges in the rapidly evolving Payments Operations industry. You'll be responsible for everything from data architecture strategy to hands-on data transformation and analysis, using tools like Python, SQL, and various cloud platforms.

Key aspects of the role include:

• Leading data architecture initiatives and strategy development
• Creating and implementing data delivery and analytic capabilities
• Working with diverse data sources and technologies
• Collaborating across teams to optimize solutions
• Contributing to research and development with emerging technologies

This role is perfect for someone who combines strong technical skills with business understanding, offering the opportunity to make a significant impact in a global financial institution. You'll be part of an organization that values diversity, innovation, and professional growth, with access to comprehensive benefits and development opportunities.

The position offers the chance to work with a team that's driving digital transformation in financial services, making it an ideal opportunity for someone passionate about data engineering and financial technology.