Lead Data Engineer: Scalable Pipelines, Cloud & Compliance

JPMorgan Chase; Chicago (IL); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorgan Chase in Chicago seeks a Lead Data Engineer to design, implement, and maintain data pipelines that ingest, process, and store large volumes of data from multiple sources, with emphasis on timeliness and reliability.

You will work within Corporate Technology to ensure data residency and privacy compliance, secure data at rest and in transit, and use cloud-native services across GCP or AWS. Collaboration with teams and mentoring engineers is required.

Qualifications

• Hands-on experience designing scalable data pipelines and architectures.
• Strong SQL with complex queries and window functions.
• Experience with cloud data platforms and data security practices.

Responsibilities

• Design, implement, and maintain scalable data pipelines collecting data from diverse sources.
• Ensure data timeliness, quality, and completeness; implement governance and privacy measures.
• Collaborate with technical and business teams to align on technical strategies.
• Lead technical delivery, review code, and mentor engineers.

Skills

Java

Python

SQL

ETL/ELT pipelines

Data quality

Mentoring

Cost optimization

Observability

Vector search

Tools

Kafka

Snowflake

Databricks

Delta Lake

Iceberg

Parquet

Spark

Flink

GCP/AWS

GitHub Copilot

Claude

Job description

JPMorgan Chase in Chicago seeks a Lead Data Engineer to design, implement, and maintain data pipelines that ingest, process, and store large volumes of data from multiple sources, with emphasis on timeliness and reliability.

You will work within Corporate Technology to ensure data residency and privacy compliance, secure data at rest and in transit, and use cloud-native services across GCP or AWS. Collaboration with teams and mentoring engineers is required.