Data Engineer - Cloud ETL & ML Workflows

JPMorganChase; Boston (MA); On-site; USD 186,000 - 215,000; Full time

Job summary

JPMorganChase in Boston seeks a senior data engineer to design scalable data processing, analytics, and ML workflows. You will build and maintain ETL/data ingestion pipelines, cloud-native data infrastructure, and ensure data quality for AI and analytics initiatives.

Collaborate with data scientists, analysts, product managers, and engineers to gather requirements, deliver solutions, and document processes. Proficiency in Java/Python, AWS, CI/CD, and data governance is expected.

Qualifications

• 5 years of experience in data processing and cloud data platforms.
• Experience with Java and Python.
• Experience with AWS data services and cloud-native architectures.
• Strong knowledge of CI/CD, Agile methodologies, and data quality controls.

Responsibilities

• Design and implement scalable data processing, analytics, and ML workflows.
• Build and maintain ETL/data ingestion pipelines in the cloud.
• Oversee end-to-end data flow, transformation, and storage with quality controls.
• Collaborate with data scientists, analysts, product managers, and engineering teams to deliver solutions.

Job description

JPMorganChase in Boston seeks a senior data engineer to design scalable data processing, analytics, and ML workflows. You will build and maintain ETL/data ingestion pipelines, cloud-native data infrastructure, and ensure data quality for AI and analytics initiatives.

Collaborate with data scientists, analysts, product managers, and engineers to gather requirements, deliver solutions, and document processes. Proficiency in Java/Python, AWS, CI/CD, and data governance is expected.