Data Engineer III

JOB DESCRIPTION

We are building the next generation of digital banking and data platforms, and you will play a key role in shaping how data powers critical business decisions. As a Data Engineer, you will work within an agile, collaborative team to design and deliver scalable, secure, and high-quality data solutions. You will help drive innovation by building resilient data systems that support analytics, insights, and customer-focused products.

As a Data Engineer III at JPMorgan Chase within the International Consumer Bank, you will design, build, and maintain scalable data platforms and pipelines on cloud infrastructure. You will partner with engineering, analytics, and business teams to ensure data is reliable, accessible, and actionable. This role requires strong engineering fundamentals, hands-on coding experience, and a passion for building modern, cloud-native data solutions.

Job responsibilities:

Build and maintain scalable data pipelines and architectures on cloud platforms, primarily AWS

Develop, test, and deploy high-quality data and backend solutions with a focus on reliability and performance

Design and implement microservices and APIs to support data workflows and integrations

Optimize data processing systems to handle large-scale datasets efficiently and ensure high availability

Implement data solutions using distributed processing frameworks such as Spark or PySpark

Apply Agile and DevOps practices, including CI/CD, automation, and infrastructure as code

Collaborate with stakeholders to understand data requirements and improve data accessibility and usability

Ensure data quality, integrity, and consistency across systems and platforms

Support integration of data into analytics and reporting platforms for business insights

Contribute to building resilient, secure, and scalable systems aligned with engineering best practices

Required qualifications, capabilities, and skills:

Bachelor's degree in Computer Science, Engineering, or a related discipline

Hands-on experience in data engineering or backend software engineering

Strong programming skills in Python with experience in data processing frameworks such as Spark or PySpark

Experience building and maintaining data pipelines and large-scale data systems (data lake or warehouse environments)

Knowledge of SQL and experience working with structured and unstructured datasets

Experience with distributed systems and scalable data architectures

Familiarity with CI/CD practices, Agile methodologies, and application resiliency

Experience with data tools such as dbt, Glue, or Trino

Exposure to orchestration tools such as Airflow or Step Functions and experience with infrastructure as code

Preferred qualifications, capabilities, and skills:

Experience with containerization technologies such as Docker and Kubernetes

Understanding of cloud platforms, preferably AWS

Knowledge of streaming and real-time data processing (Kafka, Spark Streaming)

Experience building automated testing frameworks across unit, integration, and end-to-end levels

Exposure to modern frontend technologies such as TypeScript or React

Cloud certifications in AWS (e.g., Data Engineer or Solutions Architect)

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.