Senior Data Scientist — Cloud ETL & Analytics

JPMorganChase; San Antonio (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Chase is seeking a Data Scientist Senior Associate in the DART team to design future-ready data solutions and infrastructure, partnering with stakeholders across consumer and community banking to translate business needs into scalable technical outcomes.

You will build and maintain ETL pipelines using AWS Glue, Java or Python, deploy containerized apps on ECS, integrate Oracle databases with AWS RDS, participate in CI/CD, and analyze large datasets to support decisions while providing production

Qualifications

• Design, develop, and maintain ETL data pipelines and migrate legacy ETL to cloud-native solutions.
• Develop and maintain data integrations with Oracle databases and AWS RDS.
• Write secure, high-quality code with Java, Spring Boot, and data processing frameworks (PySpark, Pandas).
• Familiarity with CI/CD, Jenkins, Docker, and Git.
• Gather, analyze, and draw conclusions from large datasets to support decision-making.
• Participate in production support and incident response as needed; observability tools like Splunk or CloudWatch.

Responsibilities

• Design, develop, and maintain ETL data pipelines using AWS Glue, Java, or Python
• Write secure, high-quality code following best practices and engineering standards
• Collaborate with AWS infrastructure teams to deploy and optimize containerized applications on Amazon ECS
• Develop and maintain data integrations with Oracle databases and AWS RDS
• Partner with business stakeholders to gather requirements and translate business needs into technical solutions
• Participate in code reviews, testing, and CI/CD pipeline maintenance
• Apply knowledge of the Software Development Life Cycle, including Jenkins, Docker, and Git
• Gather, analyze, and draw conclusions from large datasets to support decision-making
• Participate in production support and incident response as needed

Skills

ETL pipelines

AWS Glue

Java

Python

Containerized apps

AWS ECS

Data analysis

CI/CD

Education

Bachelor's degree with 7+ years or Master's with 5+ years in a quantitative field

Tools

Liquibase

Jenkins

Docker

Git

Amazon ECS

AWS RDS

Oracle DB

Job description

Chase is seeking a Data Scientist Senior Associate in the DART team to design future-ready data solutions and infrastructure, partnering with stakeholders across consumer and community banking to translate business needs into scalable technical outcomes.

You will build and maintain ETL pipelines using AWS Glue, Java or Python, deploy containerized apps on ECS, integrate Oracle databases with AWS RDS, participate in CI/CD, and analyze large datasets to support decisions while providing production