Data Engineer III

Job Description

At American Express, our culture is built on a 175-year history of innovation, shared and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role

You'll play a key role in driving automation, building robust data integration services, and enabling seamless connectivity between on-premises systems and cloud-native platforms. By leveraging modern tools and frameworks, you'll help scale Amex's big data capabilities and empower teams across the enterprise to deliver data-driven insights faster and more securely.

• Design and develop RESTful APIs to integrate internal on-premise and cloud infrastructure with big data pipelines deployed on the cloud.
• Build and maintain REST APIs that enable interaction with Terraform-based infrastructure and support self-service deployment capabilities.
• Engineer and deliver cloud-native data processing solutions leveraging technologies such as Apache Spark, Apache Beam, Apache Flink, Dataflow, and BigQuery on Google Cloud Platform (GCP).

• Develop and optimize CI/CD pipelines using GitHub Actions to automate deployment of codebases across GCP, GKE, and Databricks, while also building reusable SDKs, libraries, and APIs to enhance developer productivity and consistency across the platform.

  Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  6-10 years of experience in software or data engineering with a focus on API design and development using Java (Spring Boot) and Python.
• Hands-on experience with cloud infrastructure automation using Terraform, sensible and implementing CI/CD pipelines through GitHub Actions or similar tools.
• Strong expertise in Google Cloud Platform (GCP), including experience with IAM, networking, and resource management.
• Experienced in AI/ML engineering development including understanding of LLMs, Generative AI, Agentic concepts
• Proven experience with GCP big data services such as BigQuery, Dataproc, Cloud Run, Cloud Composer, Dataflow, and Vertex AI
• Deep understanding of migration of BigData workloads from on-prem to Cloud.
• Solid understanding of cloud-native architectures, container orchestration (GKE / Kubernetes), and infrastructure-as-code practices.
• Strong problem-solving, debugging, and performance optimization skills, with a focus on building scalable and reliable data systems.

Preferred Qualifications

• Strong troubleshooting and analytical skills, with proven expertise in SQL and data performance optimization.
• Excellent communication and collaboration abilities, with a demonstrated capacity to lead and mentor a team of developers.
• Proven ability to manage multiple priorities and deliverables in fast-paced, dynamic environments while maintaining high quality.
• Results-driven and adaptable, with a track record of delivering against aggressive timelines and project commitments.
• Motivated, creative, and highly engaged, with the ability to work effectively both independently and within cross-functional teams.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• 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

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.