Part-Time Data Engineer — Build Scalable Data Systems

American Express; Phoenix (AZ); Remote; USD 33,062 - 44,083; Full time

Job summary

American Express in Phoenix is seeking a Data Engineer to design and implement dispersed information handling and insightful frameworks. You will lead the development of scalable data pipelines and collaborate with cross-functional teams.

The role emphasizes rapid prototyping, adoption of new technologies, and building low-latency distributed systems using modern data stores. Candidates should be comfortable coaching others, communicating clearly, and delivering reliable code in a fast-paced

Qualifications

• 1+ long periods of work insight in programming plan and execution utilizing Java or Scala.
• Experience in information handling utilizing Flash.
• Information in planning, executing, and working any of the NoSQL data sets like Cassandra, Elasticsearch.

Responsibilities

• Capable To Plan And Construct Dispersed Information Handling And Insightful Frameworks.
• Fabricate Significant Level Plan As Well As Point By Point Plan Of Subsystems/Highlights With Accentuation On Performant Code.
• Assemble And Code Highlights, Working With Designers In Everyday Exercises And Aiding In Code And Other SDLC Errands.
• Construct POCs To Approve New Ideas And New Advances.
• You Will Continually Satchel And Learn Industry Driving/Imaginative Advancements And Arrangements.
• Be Very Much In The Know About Empowering Advancements And Open-Source Items To Assemble Low Idleness Dispersed Frameworks.
• Lead A Culture Of Development And Trial And Error, Take Part For Entertainment Only And Result Situated Culture, And Forever Be Prepared To Attempt New Ideas Unafraid Of Disappointment.
• Work Together With Peer Innovation And Improvement Groups Across Various Areas.

Skills

Java

Scala

Flash

Cassandra

Elasticsearch

Education

Bachelor Degree

Tools

Docker

Kubernetes

OpenShift

Job description

American Express in Phoenix is seeking a Data Engineer to design and implement dispersed information handling and insightful frameworks. You will lead the development of scalable data pipelines and collaborate with cross-functional teams.

The role emphasizes rapid prototyping, adoption of new technologies, and building low-latency distributed systems using modern data stores. Candidates should be comfortable coaching others, communicating clearly, and delivering reliable code in a fast-paced