Join us as a Data Engineer and help drive data innovation at JPMorganChase. You will collaborate with talented colleagues to deliver impactful solutions that power AI and analytics initiatives across the firm. We value your expertise, encourage growth, and support your journey to make a lasting impact. Experience a culture that celebrates diverse perspectives and fosters continuous learning. Job Summary: As a Data Engineer in the Corporate Technology team supporting CIO, Treasury embed evergreen controls on data flows to improve safety, transparency, and traceability Drive insight into areas of efficiency and risk through consolidation and reengineering of data flows Develop proactive controls to reduce the time from data quality issue identification to resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver data product prototypes Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts Experience and awareness in working within Risk Analytics space; preferred knowledge of corporate bond investment assets and structured credit products such as securitisation (e.g., CLO, CMBS, RMBS, ABS) Proven experience integrating AI-assisted development tools (e.g., Claude Code, Copilot, or similar) into engineering workflows Experience in strategic or transformational change initiatives, including data governance, data quality, or analytics transformation programs Strong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms) Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguing Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity Ability to review and validate AI-assisted outputs (e.g., code, model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements Hands-on practical experience delivering system design, application development, testing, and operational stability Preferred Qualifications, Capabilities, and Skills: Hands-on experience with data lineage tools and techniques, including graph
Data Engineer III - Python, Databricks, React employer: Aumni
At JPMorgan Chase, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Lead Data Engineer, you'll not only lead a talented squad but also benefit from extensive professional development opportunities, competitive compensation, and a commitment to work-life balance in the heart of a global financial hub. Join us to be part of a team that values your contributions and supports your growth in a rapidly evolving industry.
