Lead Data Engineer: Scalable Data Pipelines & Security

JPMorgan Chase & Co.; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Chicago is seeking a Lead Data Engineer to design, implement, and maintain scalable data pipelines that ingest and process large data volumes from diverse sources using cloud-native technologies.

You will ensure timeliness, quality, and compliance with data residency and privacy rules while safeguarding data at rest and in transit within financial regulations. You will collaborate with technical teams and business stakeholders to define the product's target state, drive

Qualifications

• Proficient in designing scalable data pipelines across batch and streaming workloads.
• Experience with cloud-native data services and secure data architectures.
• Strong SQL and data modeling capabilities with quality checks.
• Familiarity with data residency and privacy regulations in financial contexts.

Responsibilities

• Lead the design, implementation, and maintenance of data pipelines.
• Collaborate with stakeholders to define technical target state and strategy.
• Ensure data timeliness, quality, and compliance with regulations.
• Mentor engineers and drive technical delivery initiatives.

Skills

Java/Python

SQL

ETL/ELT pipelines

Kafka

Spark/Flink/Dataflow

Data modelling

Cloud (GCP/AWS)

Data security & compliance

Tools

Spark

Flink

Dataflow

Snowflake

Databricks

Delta Lake

Iceberg

Parquet

Job description

JPMorgan Chase & Co. in Chicago is seeking a Lead Data Engineer to design, implement, and maintain scalable data pipelines that ingest and process large data volumes from diverse sources using cloud-native technologies.

You will ensure timeliness, quality, and compliance with data residency and privacy rules while safeguarding data at rest and in transit within financial regulations. You will collaborate with technical teams and business stakeholders to define the product's target state, drive