Data Engineer III

As a Data Engineer III at JPMorgan Chase within the Applied AI ML & Data Engineering team, you will join our dynamic team to elevate your software engineering career. You will play a crucial role in designing, developing, and maintaining critical technology products and data pipelines across multiple technical areas, supporting the firm's business objectives in a secure, stable, and scalable manner.

As a seasoned member of an agile team, you will be responsible for creating and deploying machine learning models, developing trusted data collection and analytics solutions, and maintaining critical data pipelines. You will collaborate with cross-functional teams to solve complex problems and contribute to a culture of diversity, opportunity, inclusion, and respect.

Job Responsibilities:

• Create, deploy, and support ML models throughout their lifecycle.
• Develop, test, and maintain critical data pipelines and architectures.
• Deploy and scale distributed systems in a cloud environment (AWS).
• Implement software solutions, design, development, and technical troubleshooting.
• Collaborate with cross-functional teams to solve complex problems.
• Work with Large Language Models and run them efficiently.
• Support review of controls to ensure sufficient protection of enterprise data.
• Advise and make custom configuration changes in tools to generate products.

Required Qualifications, Capabilities, and Skills:

• Experience as a Software Engineer with 4+ years with at least 1 year in Machine Learning.
• Bachelor's degree or advanced student in Software Engineering, Computer Science, Data Science, or similar.
• Strong knowledge of machine learning techniques and programming skills in Python.
• Experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Strong knowledge of modern back-end technologies and cloud technologies.
• Advanced SQL skills and understanding of NoSQL databases.
• Experience with software engineering best practices, such as version control, testing, and CI/CD.

Preferred Qualifications, Capabilities, and Skills:

• Experience with ETL processes and Data Engineering tools, mainly using Databricks.
• Experience in CI/CD pipelines and tools such as Jenkins, Spinnaker, GIT/Bitbucket, Terraform, Kubernetes, and Docker.
• Experience in NLP and working with LLMs.
• Experience with streaming technologies such as Kafka.
• Knowledge and experience with dashboards such as Grafana.

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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.

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Client-provided location(s): Buenos Aires, Argentina, Azul, Argentina

Job ID: JPMorgan-210614318

Employment Type: FULL_TIME

Posted: 2025-09-03T19:06:51