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)
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.
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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or related discipline
- Hands-on experience in data engineering or backend software engineering
- Strong programming skills in Python
- Experience with Spark or PySpark
- Experience building and maintaining data pipelines and large-scale data systems (data lake or warehouse)
- Knowledge of SQL and experience with structured and unstructured datasets
- Experience with distributed systems and scalable data architectures
- Experience designing and maintaining solutions on cloud platforms, primarily AWS
- 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
- Experience with containerization technologies such as Docker
- Experience with Kubernetes
- Knowledge of streaming and real-time data processing (Kafka, Spark Streaming)
- Experience building automated testing frameworks (unit, integration, end-to-end)
- Exposure to frontend technologies such as TypeScript or React
- Cloud certifications in AWS (e.g., Data Engineer or Solutions Architect)
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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