Senior Data Scientist: Cloud ETL & Data Solutions

JPMorgan Chase & Co.; San Antonio (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. in Texas seeks a Data Scientist Senior Associate for the DART team to design and implement future-ready data solutions and related infrastructure.

You will build ETL pipelines, collaborate with AWS infrastructure, and translate business needs into scalable technical solutions. You will work with Java, Python, Spark, and SQL on large datasets, participate in CI/CD, code reviews, and production support, and help deploy containerized applications on ECS while following security

Qualifications

• Bachelor's or Master's in a quantitative field with relevant experience.
• Design, develop, and maintain ETL data pipelines using AWS Glue, Java, or Python, and migrate legacy ETL to cloud-native solutions.
• Develop and maintain data integrations with Oracle databases and AWS RDS; familiarity with Liquibase for migrations.
• Write secure, high-quality code with Java, Spring Boot, and data processing frameworks (PySpark, Pandas).
• Collaborate with AWS infrastructure teams to deploy containerized apps on Amazon ECS.
• Apply SDLC knowledge including Jenkins, Docker, and Git; participate in code reviews and CI/CD maintenance.
• Gather, analyze, and derive insights from large datasets to support decision-making.
• Provide production support and incident response; knowledge of observability tools like Splunk or CloudWatch.
• Partner with stakeholders to translate business needs into technical solutions.
• Strong problem-solving, communication, organization, curiosity, and ability to work independently on unstructured problems.

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 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 SDLC, 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

Java

Python

SQL / Oracle

Docker

Kubernetes / ECS

CI/CD

Data analysis

Communication

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

AWS Glue

Java

Python

Oracle

AWS RDS

Liquibase

Jenkins

Docker

Git

PySpark

Pandas

Spring Boot

AWS ECS

CloudWatch

Splunk

Job description

JPMorgan Chase & Co. in Texas seeks a Data Scientist Senior Associate for the DART team to design and implement future-ready data solutions and related infrastructure.

You will build ETL pipelines, collaborate with AWS infrastructure, and translate business needs into scalable technical solutions. You will work with Java, Python, Spark, and SQL on large datasets, participate in CI/CD, code reviews, and production support, and help deploy containerized applications on ECS while following security