JOB DESCRIPTIONJoin us for an exciting opportunity to advance your data engineering career and drive innovation in cloud automation.
Job summary
As a Data Engineer at JPMorgan Chase within the Corporate technology, you design and deliver secure, scalable data solutions that support our organization’s data quality, security, and regulatory requirements.
Job responsibilities
- Designs, develops, and maintains scalable data pipelines using AWS, Python, PySpark, and Big Data frameworks
- Architects and implements AWS cloud-based solutions for secure data storage, processing, and analytics
- Automates infrastructure deployment and management using Terraform
- Develops and maintains CI/CD pipelines using Jenkins for automated testing and deployment
- Collaborates with data stewards and compliance officers to deliver high-performance, compliant data solutions
- Ensures best practices in code quality, data security, privacy, and regulatory compliance
- Troubleshoots and optimizes data workflows and cloud infrastructure
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and three years applied experience
- Experience in data engineering, cloud automation, or DevOps
- Advanced programming skills in Python for data engineering and automation
- Hands-on experience with Hadoop, Spark, or similar Big Data technologies
- Proficiency in AWS Cloud platforms
- Strong knowledge of Infrastructure as Code using Terraform
- Experience in building and maintaining CI/CD pipelines with Jenkins
Preferred qualifications, capabilities, and skills
- Experience or interest in agent-based AI systems or autonomous agents
- Strong problem-solving and communication skills
- Ability to work independently and as part of a team
ABOUT US
hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
