Join our innovative tech team at American Express and play a pivotal role in shaping the digital lives of our customers! We are seeking a highly skilled and experienced Senior Data Engineer to join our team in Phoenix, USA. As a Senior Data Engineer, you will have the opportunity to work on cutting-edge technologies, collaborate with talented engineers, and drive the development of our distributed data processing and analytics systems.
At American Express, we offer a competitive salary of $26 per hour, a comprehensive benefits package, and a dynamic work environment that fosters growth, innovation, and creativity. If you are passionate about data engineering, cloud computing, and distributed systems, we encourage you to apply for this exciting opportunity.
Job Details
- Hiring Organization: American Express
- Post Name: Senior Data Engineer
- Qualifications: Bachelor's Degree in Computer Science or related field
- Industry: Private
- Employment Type: Full-time
- Work Hours: 8 hours per day
- Salary: $26 per hour
- Locations: Phoenix, USA
About This Job
As a Senior Data Engineer at American Express, you will be responsible for designing, building, and maintaining our distributed data processing and analytics systems. You will work closely with our team of engineers to develop scalable, performant, and reliable systems that meet the needs of our customers. Your expertise in data engineering, cloud computing, and distributed systems will be essential in driving the success of our team.
Responsibilities
- Design and build distributed data processing and analytics systems
- Develop high-level and detailed designs of subsystems and features with a focus on performant code
- Collaborate with engineers to build and code features, and participate in code reviews and other SDLC tasks
- Build proof-of-concepts to validate new ideas and technologies
- Stay up-to-date with industry-leading technologies and solutions, and apply this knowledge to build low-latency distributed systems
- Foster a culture of innovation and experimentation, and participate in a fun and results-oriented culture
- Collaborate with peer technology and development teams across multiple locations
Requirements
- 2+ years of experience in software design and implementation using Java or Scala
- Experience with data processing using Spark
- Knowledge of designing, implementing, and operating NoSQL databases such as Cassandra or Elasticsearch
Preferred Qualifications
- Experience with distributed data processing and analytics using Cassandra, Elasticsearch, or Spark
- Experience with distributed messaging systems such as Kafka
- Experience with building microservices and service mesh architectures
- Experience with cloud platforms such as Docker, Kubernetes, or OpenShift
- Experience with continuous integration, continuous delivery, and DevOps frameworks
- Experience with architecting large-scale distributed data systems with a focus on scalability, reliability, security, performance, and flexibility
- Strong understanding of different design patterns, concurrency models, and memory models supported by the language/VM
- Able to mentor and provide technical guidance to other engineers
- Excellent written and verbal communication skills, with the ability to create and deliver effective presentations to senior management
Ready for an Easy Start?
This is a low-stress role with great rewards. If you're reliable and willing to learn, we want you. Apply now and join our team of innovative and talented engineers!
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