5,402 jobs for "Technical Support Enginner"

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 [insert LOB or sub LOB], 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

A. Formal training or certification on data engineering concepts and 3+ years applied experience (NAMR/APAC - India/LATAM/Hong Kong)
B. Formal training or certification on data engineering concepts and advanced applied experience (EMEA/LATAM-Brazil)
C. Singapore follow local country guidance
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

Preferred qualifications, capabilities, and skills

About JPMorgan Chase

We know our people are our strongest asset. You will never stop learning here, and we will learn with, invest in and support you along the way.

Size: 10,000+ employees
Industry: Financial Services

View company profile