Sr Data Engineer II

American Express
Phoenix, Palo Alto
Workplace: HybridFull timeUSD 123,000 - 215,250 annuallyFunction: Software EngineeringEducation: bachelorsSkills: ["Communication","Collaboration","Technical leadership","Mentoring","Technical problem-solving"]

Design and build highly scalable, resilient, low-latency data platforms for mission-critical payment workloads. Develop distributed data processing and real-time streaming pipelines for high-volume transactional data, while enabling AI-ready architectures for machine learning, Generative AI, and real-time intelligence. Build microservices, APIs, and event-driven architectures using cloud-native and container technologies, and apply responsible AI and governance for secure, reliable production systems.

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FursaFursa
American Express
American Express
1 day ago

Sr Data Engineer II

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Design and build highly scalable, resilient, low-latency data platforms for mission-critical payment workloads. Develop distributed data processing and real-time streaming pipelines for high-volume transactional data, while enabling AI-ready architectures for machine learning, Generative AI, and real-time intelligence. Build microservices, APIs, and event-driven architectures using cloud-native and container technologies, and apply responsible AI and governance for secure, reliable production systems.
Location: Phoenix, Palo Alto
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and build scalable, resilient, low-latency data platforms for payment workloads.
  • •Develop distributed data processing and real-time streaming pipelines for high-volume transactional data.
  • •Create AI-ready data architectures and pipelines for machine learning and Generative AI use cases.
  • •Design and develop microservices, APIs, and event-driven architectures using cloud-native engineering practices.
  • •Provide technical leadership by mentoring engineers, conducting design reviews, and contributing to engineering standards and best practices.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability Benefits401kParental Leave

Key Requirements

  • •Design, implement, and operate large-scale distributed data platforms and systems.
  • •Build distributed data processing with technologies such as Apache Spark and implement data pipelines, data models, APIs, and event-driven architectures.
  • •Use NoSQL technologies such as Cassandra, Elasticsearch, Couchbase, or Redis and apply distributed systems concepts (scalability, reliability, resiliency, security, performance).
  • •Have strong programming experience in Python, Java, Scala, or similar languages.
  • •Demonstrate the ability to solve complex engineering problems and deliver production-grade solutions.
Experience:PaymentsDistributed systemsReal-time streamingAI-ready data platforms
Education:Bachelor's
Skills:CommunicationCollaborationTechnical leadershipMentoringTechnical problem-solving
Tech Stack:CassandraElasticsearchCouchbaseRedisApache SparkPythonJavaScalaAPIsEvent-driven architecturesDistributed messagingApache KafkaDockerKubernetesOpenShiftCI/CDDevOpsMicroservicesCloud-native applicationsObservability

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn