Full Stack Java/React Developer - Data Scientist Senior Associate

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

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 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.

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.