Senior Data Engineer III: AI-Enhanced Data Pipelines

JP Morgan Chase; Jersey City (NJ); Sur place; USD 150 000 - 190 000; Plein temps

Résumé du poste

JPMorganChase is seeking a Data Engineer III in Jersey City to design and maintain trusted data pipelines and architectures across multiple business functions. You will work within Corporate Technology to deliver secure, scalable data solutions, while contributing to analytics and data governance.

You will apply advanced SQL and NoSQL techniques, manage ETL/ELT workflows, and leverage AI-assisted tooling. Collaboration with teams on AI outputs and data sensitivity is essential.

Qualifications

• 3+ years of applied data engineering experience building production pipelines.
• Experience building and optimizing ETL/ELT pipelines with performance tuning.
• Proficiency in SQL with advanced techniques and optimization.
• Experience with Databricks Genie Spaces and ThoughtSpot integration.
• Strong Oracle experience including DDL/DML, partitioning, and tuning.
• Experience handling JSON and semi-structured data.
• Proficiency with Git-based workflows and IDEs like IntelliJ.
• Strong problem-solving across ingestion, transformation, and serving layers.
• Experience using enterprise AI capabilities in data workflows with validation.

Responsabilités

• Supports review of controls to protect enterprise data.
• Uses AI capabilities to accelerate data pipeline design and documentation.
• Implements configuration changes to deliver products on business requests.
• Updates data models based on new use cases.
• Frequently uses SQL and leverages NoSQL databases where appropriate.
• Applies AI-assisted SDLC practices with traceability and security alignment.

Connaissances

SQL proficiency

NoSQL

Databricks Genie

ThoughtSpot

Oracle DB

JSON handling

Git workflows

IntelliJ IDEA

AI capabilities

ETL pipelines

Data modeling

Analytics

Outils

Databricks

Bitbucket

GitHub

IntelliJ IDE

Docker

Kubernetes

Description du poste

JPMorganChase is seeking a Data Engineer III in Jersey City to design and maintain trusted data pipelines and architectures across multiple business functions. You will work within Corporate Technology to deliver secure, scalable data solutions, while contributing to analytics and data governance.

You will apply advanced SQL and NoSQL techniques, manage ETL/ELT workflows, and leverage AI-assisted tooling. Collaboration with teams on AI outputs and data sensitivity is essential.