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American Express

Senior Data Engineer

American Express

. Design and build highly scalable, resilient, and low-latency data platforms supporting mission-critical payment workloads .

Posted 9/23/2026full-timeUnited StatesSenior💰 $123,000 - $215,250 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building scalable data platforms and architectures, with a strong focus on distributed data processing, real-time streaming, and AI integration. Proven ability to lead technical teams, implement best practices, and ensure data governance and security.

Highest-signal resume keywords
Distributed Data ProcessingNoSQL TechnologiesData Pipeline DesignCloud-Native TechnologiesTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonJavaScalaApache SparkCassandraElasticsearchCouchbaseRedisMicroservicesAPIs
Soft Skills
Problem SolvingMentoringCollaboration
Tools & Technologies
CI/CDContainerizationOrchestrationEvent-Driven ArchitecturesObservability
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Data GovernanceResponsible AIScalabilityResiliencyPerformance

Tech Stack

Tools & technologies
ApacheCassandraCloudElasticSearchJavaMicroservicesNoSQLPythonRedisScalaSpark

About the role

Key responsibilities & impact
  • Design and build highly scalable, resilient, and low-latency data platforms supporting mission-critical payment workloads
  • Develop distributed data processing and real-time streaming pipelines for high-volume transactional data
  • Build AI-ready data architectures and pipelines enabling machine learning, Generative AI, and real-time intelligence use cases
  • Explore and implement Large Language Models, Retrieval-Augmented Generation, embeddings, vector search, and AI agents
  • Design and develop microservices, APIs, and event-driven architectures
  • Drive adoption of cloud-native technologies, containerization, orchestration, CI/CD, automation, and observability
  • Establish engineering practices for performance, scalability, resiliency, security, data quality, and operational excellence
  • Apply Responsible AI and data governance principles, including privacy, security, explainability, model evaluation, and appropriate controls
  • Evaluate emerging technologies across AI, data, and distributed computing and translate them into practical payment-platform solutions
  • Provide technical leadership, mentor engineers, conduct design reviews, and contribute to engineering standards and best practices
  • Partner with product, architecture, data science, and engineering teams to turn complex business opportunities into scalable technology solutions

Requirements

What you’ll need
  • Bachelor's Degree
  • Experience designing, implementing, and operating large-scale distributed data platforms and systems
  • Strong experience with NoSQL technologies such as Cassandra, Elasticsearch, Couchbase, or Redis
  • Experience with large-scale distributed data processing technologies such as Apache Spark
  • Strong programming experience with Python, Java, Scala, or similar languages
  • Experience designing data pipelines, data models, APIs, and event-driven architectures
  • Strong understanding of distributed system concepts, including scalability, reliability, resiliency, security, and performance
  • Demonstrated ability to solve complex engineering problems and deliver production-grade solutions
  • Visa sponsorship may be provided depending on business unit requirements, position nature, cost, and applicable laws

Benefits

Comp & perks
  • Competitive base salaries
  • Bonus incentives
  • 6% Company Match on retirement savings plan
  • Free financial coaching and financial well-being support
  • Comprehensive medical, dental, vision, life insurance, and disability benefits
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities
  • Visa sponsorship may be provided for certain positions