Are you passionate about building data solutions that make a difference? At JPMorgan Chase, you’ll join a collaborative team where your creativity and unique perspective are valued. We empower you to grow your skills, contribute to meaningful projects, and shape the future of data engineering. Here, you’ll find opportunities to innovate and make a lasting impact. Bring your design thinking and experience to help us reach new heights together.
As a Data Engineer II in the Compute Infrastructure Platforms team, you will enhance, design, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will execute data solutions through design, development, and technical troubleshooting of multiple components within technical products and systems. You’ll gain hands-on experience and develop your skills as you grow within your role. Our team values diversity, creativity, and a culture of inclusion and respect. You’ll help us drive innovation and support our mission to deliver high-quality data solutions.
Job Responsibilities:
Organize, update, and maintain data to make it actionable for business needsDemonstrate knowledge of data system components to determine secure access controlsMake custom configuration changes in tools to generate products for business or customer requestsUpdate logical or physical data models based on new use cases with minimal supervisionContribute to a team culture of diversity, opportunity, inclusion, and respectRequired Qualifications, Capabilities, and Skills:
Experience with data modeling or compute infrastructure data conceptsBasic knowledge of the data lifecycle and data management functionsAdvanced skills in SQL, including joins and aggregationsWorking understanding of NoSQL databasesExperience with statistical data analysis and ability to select appropriate tools for analysisBasic knowledge of data system components to determine necessary controlsPreferred Qualifications, Capabilities, and Skills:
Hands-on experience building or maintaining ETL/ELT pipelines, especially for large or complex datasetsUnderstanding of monitoring tools such as Prometheus or Grafana, and logging frameworks for tracking data system health and performanceKnowledge of data security best practices, including access controls, encryption, and compliance for highly confidential dataAbility to document technical processes clearly and communicate findings or recommendations to both technical and non-technical stakeholdersIf you’re ready to make an impact and grow your career in a supportive, innovative environment, we invite you to join us.