Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Lead Data Engineer at JPMorgan Chase within the Corporate Sector - Financial Planning & Analysis space, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way Implements database back-up, recovery, and archiving strategy  Evaluates and reports on access control processes to determine effectiveness of data asset security​ with minimal supervision Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on Data Engineering concepts and 5+ years applied experience Proficiency in data modeling tools and software (e.g., SQL, Python, SparkSQL, PySpark) and data visualization tools (e.g., Tableau, ThoughtSpot). Extensive experience in financial data modeling, data analytics, and financial analysis within the banking or financial services sector. Working experience with both relational and NoSQL databases​ Experience and proficiency across the data lifecycle Experience with database back-up, recovery, and archiving strategy Proficient knowledge of linear algebra, statistics, and geometrical algorithms Preferred qualifications, capabilities, and skills Knowledge of financial regulations and compliance requirements.