Senior Data Engineer: Spark, PySpark & AI‑Driven Pipelines

JPMorganChase; Jersey City (NJ); On-site; USD 95,000 - 125,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Job summary

JPMorganChase is seeking a data engineering professional in Jersey City, NJ. The role involves developing high-quality code in Python and PySpark, executing innovative software solutions, and leading community practices.

The ideal candidate has 5+ years of experience in software engineering and data pipelines. The position offers a competitive salary along with a comprehensive benefits package including health care, retirement plans, and wellness programs.

Qualifications

• 5+ years of applied experience building production data engineering and/or software engineering solutions.
• Advanced proficiency in Python and strong hands‑on experience with PySpark.
• Demonstrated experience leading effective use of approved AI‑assisted software development tools.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting.
• Develops secure high-quality production code in Python/PySpark.
• Leads communities of practice across Software Engineering to drive awareness of new technologies.

Skills

Python

PySpark

Spark SQL

AI-assisted engineering

Data pipeline reliability

AWS data management

Education

Formal training or certification in software engineering

5+ years of applied experience in data engineering

Tools

AWS Glue

Apache Iceberg

Job description

JPMorganChase is seeking a data engineering professional in Jersey City, NJ. The role involves developing high-quality code in Python and PySpark, executing innovative software solutions, and leading community practices.

The ideal candidate has 5+ years of experience in software engineering and data pipelines. The position offers a competitive salary along with a comprehensive benefits package including health care, retirement plans, and wellness programs.