Lead Data Engineer — Scalable Cloud Pipelines

JPMorganChase; Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Lead Data Engineer to design and build scalable, secure data pipelines for ingestion, processing and storage of large data sets. You will work within Corporate Technology to implement cloud-native architectures and ensure data timeliness, quality, and regulatory compliance.

The role emphasizes collaboration with technical teams and stakeholders, evaluating new technologies, and delivering creative data solutions in a regulated financial environment.

Qualifications

• Programming: Java/Python with testing and code reviews.

Responsibilities

• Design, implement, and maintain scalable data pipelines for large data volumes from diverse sources.

Skills

Java

Python

SQL

Data pipelines

Kafka

Spark

Flink

Dataflow

Cloud (GCP/AWS)

FinOps

Data quality

SLIs & observability

Tools

Snowflake

Databricks

Delta

Iceberg

Parquet

Job description

JPMorganChase is seeking a Lead Data Engineer to design and build scalable, secure data pipelines for ingestion, processing and storage of large data sets. You will work within Corporate Technology to implement cloud-native architectures and ensure data timeliness, quality, and regulatory compliance.

The role emphasizes collaboration with technical teams and stakeholders, evaluating new technologies, and delivering creative data solutions in a regulated financial environment.