Trailblazing Lead: Data Platform & Software Engineer

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer to join the Commercial & Investment Banking – Data Analytics – Payments Technology team in New Jersey.

You will contribute as a core technical member, delivering scalable data pipelines and production-grade software to support trusted analytics, governance, and secure operations. Responsibilities include real-time and batch processing with Spark, Airflow, Kafka, and Flink, data modeling, and collaboration with product managers and

Qualifications

• Formal training or certification in software engineering concepts.
• 5+ years of applied experience in software engineering or data platform development.
• Experience delivering system design, application development, testing, and operational stability.
• Strong hands-on coding in Python/Java and SQL.

Responsibilities

• Develop scalable data pipelines and ETL/ELT workflows for batch and real-time processing.
• Build and maintain data platform components with governance, lineage, and compliance.
• Collaborate with analytics teams and stakeholders to translate data requirements into production solutions.
• Produce secure, production-grade code and review others' code.
• Lead evaluation sessions with vendors and internal teams on architectural designs.
• Drive automation to improve overall operational stability of software applications.

Skills

Python

Java

SQL

Spark

Flink

Airflow

Databricks

Kubernetes

CI/CD

Security

Education

Bachelor's degree in Computer Science

Tools

Databricks

Airflow

Kubernetes

Iceberg

OpenMetadata

Tableau

Job description

JPMorgan Chase & Co. is seeking a Lead Software Engineer to join the Commercial & Investment Banking – Data Analytics – Payments Technology team in New Jersey.

You will contribute as a core technical member, delivering scalable data pipelines and production-grade software to support trusted analytics, governance, and secure operations. Responsibilities include real-time and batch processing with Spark, Airflow, Kafka, and Flink, data modeling, and collaboration with product managers and