You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.

 

As a Data Engineer II at JPMorgan Chase within the Employee Platforms team, 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. As an emerging member of a data engineering team, you are responsible for overseeing Databricks adoption and supporting internal teams as they integrate with Databricks. As a Software Engineer, you will collaborate with colleagues across the organization to deliver secure, scalable, and reliable technology solutions that drive business success.

 

 

 

Job responsibilities

 

Design, develop, and troubleshoot software solutions with a focus on Databricks integration and adoptionBuild and maintain data pipelines using Databricks to ensure efficient and reliable data processing for internal teamsWrite secure, high-quality production code in Python and participate in code reviews and debuggingImplement and support CI/CD pipelines to automate software delivery and improve operational stabilityCollaborate with internal teams to provide guidance and best practices for Databricks usageParticipate in team discussions and activities to share knowledge and drive continuous improvementContribute to a positive team culture that values diversity, inclusion, and respectSupport the adoption of best practices in software engineering and data managementTroubleshoot and resolve issues related to data pipelines and software integrationDocument technical processes, workflows, and solutions for team referenceEngage in ongoing learning to stay updated with advancements in Databricks, Python, and related technologies

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 2+ years applied experience 

Show proficiency in Python programmingBuild and maintain data pipelines using DatabricksApply practical experience with CI/CD tools and automation methodsExhibit familiarity with agile development practices, application resiliency, and securityParticipate in code reviews and debugging activitiesCollaborate with teams to implement best practices for Databricks and data engineeringTroubleshoot and resolve technical issues in data pipelinesDocument and communicate technical solutions effectivelyEngage in continuous improvement and learning within the team environment

 

 

Preferred Qualifications, Capabilities, and Skills

Demonstrate experience with AWS services such as S3, EMR, Glue, ECS/EKS, and AthenaObtain certifications in AWS, Databricks, or automation toolsGain exposure to open table formats like Iceberg or Delta Lake and data catalog tools such as AWS Glue Data CatalogPursue interests in cloud computing, artificial intelligence, or mobile development