Data Engineer III

As a Data Engineer at JPMorgan Chase within Personal Investing, you will build and operate a robust cloud-native data platform and pipelines that power analytics, regulatory reporting, and data-promoten applications at scale. You will help us deliver reliable, scalable, observable, and secure data solutions across cloud-native services, lakehouse architectures, data warehousing, and streaming systems. You'll partner with teammates to build consistent, maintainable pipelines and contribute across the software delivery lifecycle from requirements through support., * Build and maintain scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt

• Build and operate batch and streaming data pipelines with strong scalability, performance, and fault tolerance
• Develop and manage workflow orchestration using tools such as Apache Airflow to support reliable, observable, and well-scheduled data movement and transformations
• Implement and optimize data models and warehouse structures to support analytics and business intelligence workloads
• Write clean, testable Python/PySpark code using object-oriented principles and unit testing
• Implement infrastructure-as-code for the data platform using Terraform
• Containerize and deploy services using Docker, Kubernetes, and Helm
• Contribute across the software development lifecycle, including requirements, design, development, testing, deployment, release, and support
• Collaborate with teammates in an agile, dynamic environment to deliver reliable outcomes

• Degree in Computer Science or a STEM-related field (or equivalent)
• Experience working in an agile and dynamic environment
• Experience across the software development lifecycle (requirements, design, architecture, development, testing, deployment, release, and support)
• At least 5 years of recent, hands-on professional experience actively coding as a data engineer
• Hands-on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure)
• Experience writing Python using object-oriented programming and unit/integration testing practices
• Experience with SQL and familiarity with SQL-based workflow management tools such as dbt
• Experience with orchestration tools such as Airflow (or similar)
• Understanding of messaging/streaming systems such as Kafka or Pub/Sub (or similar)
• Familiarity with infrastructure-as-code (e.g., Terraform) for cloud-based data infrastructure, * Data modeling skills
• Experience with data streaming and scalable processing frameworks (e.g., Spark, Flink, Beam, or similar)
• Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines
• Experience with lakehouse patterns and table formats (e.g., Apache Iceberg)
• Experience with federated query engines such as Trino
• Experience designing automated tests (unit, component, integration, and end-to-end), including use of mocking frameworks
• Experience with containers and container-based deployment environments (e.g., Docker, Kubernetes, or similar)

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., 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.