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Full-time
Posted 22h ago
Apply by Aug 14
~40 hrs/week
Responsibilities
The Data Engineer III is responsible for designing, developing, and maintaining secure and scalable data pipelines and architectures. They also support control reviews and utilize AI-assisted tools to accelerate data design and documentation while ensuring data security.
Requirements
Candidates must have at least 3 years of applied experience in data engineering and formal training in the field. Proficiency in advanced SQL, NoSQL databases, and statistical data analysis is required, along with experience in AI-supported data workflows.
Full 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 Commercial & Investment Bank, 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 data
Uses 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.
Responsible for making configuration and customization changes to generate a product at business or customer requests and advising colleagues in requests
Updates logical or physical data models based on new use cases
Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
Applies 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 experience
Experience across the data lifecycle
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., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.
Advanced SQL skills (e.g., joins and aggregations) and working understanding of NoSQL databases
Significant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis
Experience customizing changes in tools to generate product outputs
Related keywords
Data EngineerJPMorganChaseCommercial & Investment BankAgileData PipelinesData ArchitectureSQLNoSQLAISDLCData ModelingStatistical AnalysisData LifecycleAuditabilityResiliencySecurity
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services.
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JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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