You’re ready to gain the skills and experience needed to grow within your role and advance your career.

As a Data Engineer II at JPMorgan Chase within Commercial & Consumer Banking, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way.

Job responsibilities:

Executes standard software solutions, design, development, and technical troubleshootingWrites secure and high-quality code using the syntax of at least one programming language with limited guidanceDesigns, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implicationsApplies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automationApplies technical troubleshooting to break down solutions and solve technical problems of basic complexityGathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application developmentLearns and applies system processes, methodologies, and skills for the development of secure, stable code and systemsAdds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills:

Formal training or certification on data engineering concepts and 2+ years applied experienceDesigns, develop, and maintain scalable data pipelines on AWS using services such as Glue, EMR, Lambda, and Redshift.Collaborates with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.Monitors, troubleshoot, and resolve issues in production data pipelines.Hands-on practical experience in system design, application development, testing, and operational stabilityExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesDemonstrable ability to code in one or more languagesExperience across the whole Software Development Life CycleExposure to agile methodologies such as CI/CD, Application Resiliency, and SecurityEmerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills:

Experience in data engineering, with a focus on cloud-based solutions (AWS).Strong proficiency in SQL and Python/Java.Exposure to cloud technologies