Data Engineer III - Python / SQL

Job description

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Data Engineer III at JPMorganChase within the Consumer & Community Banking - Data Technology team, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Supports review of controls to ensure sufficient protection of enterprise dataUses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer requestUpdates logical or physical data models based on new use casesFrequently uses SQL and understands NoSQL databases and their niche in the marketplaceAdds to team culture of diversity, opportunity, inclusion, and respectApplies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations. Required qualifications, capabilities, and skills Formal training or certification on data engineering concepts and 3+ years applied experienceSolid working experience with Python and DatabricksDemonstrated 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., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.Experience across the data lifecycleAdvanced at SQL (e.g., joins and aggregations)Working understanding of NoSQL databasesSignificant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysisExperience customizing changes in a tool to generate productMust have strong analytical skills Required qualification, capabilities, and skills AI/ML certificationsAWS certifications