Senior Data Engineer – AI-Driven Pipelines & Security

Aumni; Jersey City (NJ); Sur place; USD 140 000 - 190 000; Plein temps

Résumé du poste

JPMorgan Chase & Co. in the Corporate Technology division is seeking a Data Engineer III to design and deliver trusted data collection, storage, and analytics solutions across the enterprise.

You will work on production-grade ETL/ELT pipelines, ensure data quality and security, and collaborate in an agile environment to support business objectives using AI-assisted data processing and modern data platforms.

Qualifications

• 3+ years of data engineering experience with production pipelines.
• Experience building ETL/ELT pipelines with performance tuning and incremental loads.
• Advanced SQL with joins, analytics and window functions.
• Experience with JSON/semi-structured data and schema evolution considerations.
• Git-based workflows and IDEs (Bitbucket/GitHub; IntelliJ).
• Ability to validate AI-assisted outputs and ensure data security and governance.

Responsabilités

• Review controls to safeguard enterprise data.
• Use enterprise-authorized AI capabilities to accelerate data pipeline analysis and documentation.
• Make configuration and customization changes to generate products and advise colleagues.
• Update data models based on new use cases.
• Work with SQL/NoSQL databases and optimize data pipelines.
• Ensure SDLC quality, traceability, and security alignment.

Connaissances

SQL

Databricks Genie Spaces

ThoughtSpot

Oracle

JSON

Git-based workflows

IntelliJ IDEA

AI-assisted data engineering

Formation

Formal training or certification in data engineering

Outils

Databricks Genie Spaces

ThoughtSpot

Oracle

Bitbucket

GitHub

IntelliJ IDEA

Docker

Kubernetes

Description du poste

JPMorgan Chase & Co. in the Corporate Technology division is seeking a Data Engineer III to design and deliver trusted data collection, storage, and analytics solutions across the enterprise.

You will work on production-grade ETL/ELT pipelines, ensure data quality and security, and collaborate in an agile environment to support business objectives using AI-assisted data processing and modern data platforms.