Remote Data Engineer Opportunity at American Express - $27/Hour

Join our team of innovators and collaborate with talented engineers in a dynamic, remote work environment. As a Data Engineer at American Express, you will play a key role in designing, coding, and deploying software that makes a significant impact on our clients' digital lives. With a competitive salary of $27/hour and a flexible, part-time schedule, this is an opportunity you won't want to miss.

We are seeking a highly skilled and motivated individual to join our team as a Data Engineer. As a member of our diverse tech group, you will work alongside talented engineers in an open, collaborative, and inclusive environment where your voice is valued, and you have the autonomy to make decisions on the technologies you use to solve complex problems.

Job Details

• Hiring Organization: American Express
• Post Name: Data Engineer
• Qualifications: Bachelor's Degree
• Industry: Private
• Employment Type: Part-time
• Work Hours: 8 hours
• Salary: $27/hour
• Locations: New York, USA

About This Job

• Building and coding features, working with engineers in daily activities, and assisting in code and other SDLC tasks
• Building POCs to validate new concepts and technologies
• Staying up-to-date with industry-leading/innovative technologies and solutions
• Leading a culture of innovation and experimentation, participating in a fun and results-oriented culture, and being open to trying new ideas without fear of failure
• Collaborating with peer technology and innovation groups across various locations

Requirements

• Experience in data processing using Flash
• Knowledge in designing, implementing, and operating NoSQL databases like Cassandra, Elasticsearch

Preferred Qualifications

• Experience in distributed data processing and analyzing using Cassandra, Elasticsearch, Flash
• Experience in building Microservices and Service Mesh
• Experience in cloud platforms like Docker, Kubernetes, OpenShift
• Experience in Continuous Integration, Continuous Delivery, and DevOps Frameworks
• Experience in architecting large-scale distributed data systems considering scalability, reliability, security, performance, and flexibility
• Clear understanding of different design patterns, threading, and memory models supported by the language/VM
• Able to mentor and provide technical guidance to other engineers
• Excellent written and verbal communication skills

We Encourage You to Apply!

Even if you feel you're not a perfect match, we'd still love to hear from you. We are looking for great people to join our friendly team.