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Senior Data Engineer
American Express. Design and build highly scalable, resilient, and low-latency data platforms supporting mission-critical payment workloads .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesApacheCassandraCloudElasticSearchJavaMicroservicesNoSQLPythonRedisScalaSpark
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