Job Description

Join American Express and be part of a global team that’s revolutionizing the way financial services are built and delivered. We’re looking for a passionate Data Engineer I to help us accelerate financial innovation by enabling rapid creation and iteration of banking products and services. At American Express, your contributions matter. You’ll be part of a dynamic, inclusive culture where your voice is heard and your work is valued.

As a Data Engineer I, you will play a critical role in shaping the architecture and data engineering workflows that power our modern banking platform. This position offers an exciting opportunity to solve real-world business challenges using leading-edge tools, frameworks, and agile methodologies.

Key Responsibilities

Develop, test, and maintain high-quality software and data applications
Collaborate in Agile teams to analyze user stories, design and develop applications, and automate tests
Refactor code continuously to improve structure and maintainability
Document technical and business requirements, ensuring alignment with data architecture
Build and maintain data ingestion pipelines, schema, and metadata processes
Lead or contribute to peer reviews and team-wide best practices
Troubleshoot distributed storage and compute challenges
Work with cross-functional teams to meet business data requirements
Contribute to scalable, real-time data ingestion using Kafka-based pipelines
Apply Test Driven Development (TDD) principles throughout the software lifecycle

Required Qualifications

Bachelor’s degree in Computer Science, Information Technology, or a related field
Experience in Python Object-Oriented Programming and dependency management using Poetry
Strong command of built-in Python libraries (e.g., JSON, Base64, os, logging)
Proficiency in asynchronous microservices using FastAPI
Experience with distributed data frameworks, especially PySpark (DataFrames, Spark SQL)
Knowledge of Cornerstone Ingestion Processes and Business Metadata
Familiarity with Yellowbrick for interactive analytics
Hands-on experience with Hyperdrive JSON schema and Kafka-based real-time ingestion pipelines
Understanding of Event Engine Management and Amex logging framework
Sound knowledge of data governance tools like Collibra and Manta
Experience working with REST API specifications (Swagger)
Familiarity with CI/CD tools like Jenkins, Development Tool Central, and XLR
Containerization skills using Docker and Kubernetes (PODs)
Experience in cloud deployment and monitoring using Hydra
Domain knowledge in banking processes such as Zelle, ACH, and Intraday Money Movement
Strong analytical, problem-solving, and communication skills

Preferred Attributes

Ability to work independently and manage multiple tasks simultaneously
Strong sense of initiative and ownership
Adaptable to change and open to experimentation
Effective at communicating complex technical concepts to non-technical stakeholders
Organized, self-driven, and detail-oriented

Benefits and Perks

Competitive base salary with performance-based bonuses
Flexible hybrid work environment
Retirement savings support and financial planning tools
Comprehensive healthcare (medical, dental, vision, disability, life insurance)
Generous paid parental leave and wellness benefits
On-site wellness centers at select locations
Free and confidential mental health counseling via Healthy Minds program
Continuous learning and career development opportunities

Eligibility

Education: Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field
Batch: Graduates from 2021, 2022, 2023, 2024 are eligible to apply

Technical Skills (comma-separated):

Python, FastAPI, PySpark, Spark SQL, JSON, Base64, Kafka, Hyperdrive, Yellowbrick, Event Engine, Poetry, Jenkins, Collibra, Manta, Swagger, Docker, Kubernetes, Hydra, Agile, TDD, REST APIs, CI/CD, Logging Frameworks, Cornerstone, Data Ingestion, Data Governance, Microservices Architecture

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Data Engineer I