Full Stack Java/React Developer - Data Scientist Senior Associate

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

DART (Data, Analytics and Reporting Team) serves as a provider of data, analytics, and automation solutions for functions within the Consumer and Community Banking Operations. As a global team with a presence in the United States, India, and the Philippines, this role offers the opportunity to develop cutting‑edge solutions and the necessary infrastructure to support them. The position involves collaboration with various stakeholders and management levels to ensure the delivery of the most effective solutions.

Job summary:

As a Data Scientist Senior Associate in the DART (Data, Analytics and Reporting Team), you will be responsible for setting up future ready solutions and related infrastructure.

Job 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

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree with 7+ years or Master’s with 5+ years of relevant experience in a quantitative field (e.g., Computer Science, Engineering).
• 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 database migrations.
• Write secure, high-quality code following best practices and engineering standards; experience with Java, Spring Boot, and data processing frameworks (PySpark, Pandas).
• Collaborate with AWS infrastructure teams to deploy and optimize containerized applications on Amazon ECS.
• Apply knowledge of the Software Development Life Cycle, including Jenkins, Docker, and Git; participate in code reviews, testing, and CI/CD pipeline maintenance.
• Gather, analyze, and draw conclusions from large datasets to support decision‑making.
• Participate in production support and incident response as needed; knowledge of observability tools such as Splunk or CloudWatch.
• Partner with business stakeholders to gather requirements and translate business needs into technical solutions.
• Strong problem‑solving mindset, excellent communication skills, highly organized, intellectually curious, and able to work independently on unstructured problems.

Preferred Qualifications, Capabilities, and Skills

• Experience in financial services or highly regulated industries.
• AWS certifications (Solutions Architect Associate, Developer Associate, or Data Analytics Specialty) and experience migrating legacy ETL processes to cloud-native solutions.
• Experience in financial services or highly regulated industries; AWS certifications (Solutions Architect Associate, Developer Associate, or Data Analytics Specialty) preferred.
• Proficiency with Java, Spring Boot, and hands‑on experience with data processing frameworks such as PySpark and Pandas.
• Familiarity with Liquibase for database migrations and knowledge of observability tools like Splunk or CloudWatch.
• Strong problem‑solving mindset; excels at solving unstructured problems independently.
• Intellectually curious, strategic, and eager to learn with a focus on business goals and innovation and Highly organized, able to prioritize multiple tasks, and strong communicator who builds effective relationships with stakeholders.