Senior Data Engineering Lead — Cloud Data Pipelines

JP Morgan Chase; Columbus (OH); On-site; USD 140,000 - 200,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer – Data Engineering to design and deliver trusted data products within the Consumer & Community Banking/Data Products team. You will lead the implementation of scalable ETL pipelines, cloud‑native solutions on AWS, and modern data lake architectures, while promoting secure coding and CI/CD practices.

Role requires 5+ years in data engineering, deep Python experience, and expertise with Snowflake, Iceberg/Delta Lake, and orchestration tools like

Qualifications

• 5+ years of data engineering experience in a large corporate environment.
• Proficient in Python (primary) and Java (secondary).
• Hands‑on PySpark or distributed data processing experience.

Responsibilities

• Design, build, and optimize large‑scale ETL data pipelines.
• Develop Python applications with modular code, logging, and tests.
• Work with PySpark for distributed data processing.

Skills

Python

Java

PySpark

DBT

Airflow

Control‑M

AWS

Iceberg/Delta Lake

Snowflake

SQL

Education

Formal software engineering training

5+ years data engineering experience

Tools

CI/CD pipelines

GitHub Copilot/AI tools

Job description

JPMorgan Chase is seeking a Lead Software Engineer – Data Engineering to design and deliver trusted data products within the Consumer & Community Banking/Data Products team. You will lead the implementation of scalable ETL pipelines, cloud‑native solutions on AWS, and modern data lake architectures, while promoting secure coding and CI/CD practices.

Role requires 5+ years in data engineering, deep Python experience, and expertise with Snowflake, Iceberg/Delta Lake, and orchestration tools like