Introduction
Are you an experienced data engineer seeking a challenging role in a global financial firm? The Data Engineer III American Express position offers an opportunity to design, build, and maintain advanced data pipelines and analytics systems within one of the world’s leading financial organizations. In this post, we deep dive into the role, responsibilities, required skills, benefits, and tips to apply — all optimized around the keyword Data Engineer III American Express.
About American Express & the Data Engineering Role
Data Engineer III American Express, American Express (Amex) is a global leader in payments, financial services, and technology innovation. Its technology teams drive mission-critical systems that support millions of customers, leveraging cutting-edge data, cloud, and analytics solutions. driven decisions across business units. This is a senior hands-on engineering role where depth in data platforms and excellent coding skills matter.
Key Responsibilities
If you’re pursuing Data Engineer III American Express, here’s what you’ll typically be expected to handle:
- Design & Develop Data Solutions
You’ll build scalable data pipelines using big data technologies like Spark, Hive, BigQuery, and associated ecosystems.
This includes extracting, transforming, and loading (ETL/ELT), and designing schemas and data models. - Code & Automation
Expect to write production-level code in Python, PySpark, or Java. You’ll consider modularity, performance, and maintainability.
Automate pipeline workflows using orchestration tools (Airflow / orchestration platforms) and implement continuous integration/continuous deployment (CI/CD) practices. - Cloud & Platform Integration
Leverage cloud services (especially GCP such as BigQuery) and integrate data flows across distributed systems.
You’ll also enforce infrastructure as code and monitoring to ensure operational stability. - Collaboration & Stakeholder Engagement
You don’t work alone — partner with data scientists, product owners, analytics teams, and business stakeholders. Understand their data requirements and translate them into robust pipeline solutions. - Optimization & Maintenance
Maintain and optimize existing pipelines. Detect bottlenecks, refactor legacy code, and continuously improve data quality, performance, and system reliability.
Required Skills & Experience
To excel as Data Engineer III American Express, you should bring:
- Technical Expertise
- Strong programming skills in Python, PySpark, or Java.
- Hands-on experience in big data tools: Spark, Hive, BigQuery, etc.
- Knowledge of GCP or other cloud environments and cloud data services.
- Data Modeling & Pipeline Design
The ability to design optimized star/snowflake schemas, dimensional modeling, and efficient ETL/ELT flows.
Experience handling large-scale data ingestion, transformation, and storage. - Software Engineering Practices
Clean code, test-driven development, version control, code reviews, modular design.
Familiarity with scheduling/orchestration (e.g., Airflow), and CI/CD pipelines. - Analytical & Problem-Solving Skills
Ability to dig into data, identify anomalies, debug pipeline issues, and provide scalable fixes. - Communication & Collaboration
Translate business requirements into data solutions, interact with cross-functional teams, present technical concepts to non-technical stakeholders. - Education & Experience
A bachelor’s or master’s degree in computer science, engineering, or a quantitative field, plus several years (often 5+ years) in data engineering or a closely related domain.🔹 Steps to Apply for Data Engineer III American Express
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Visit the Official Job Posting
Go directly to the American Express careers portal:
Data Engineer III Job Posting on AEXP -
Click “Apply” or “Apply Now”
On the job description page, you’ll see an Apply button. Clicking it will redirect you to the secure application form. -
Create / Log Into Your Account
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If you already have an American Express Careers account, log in.
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If not, you’ll need to create a new profile with your email and password.
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Upload Your Resume & Documents
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Upload your updated resume tailored to highlight:
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Data engineering projects (Spark, Hive, BigQuery, Python, PySpark, Java, GCP).
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Cloud data solutions experience.
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Pipeline optimization and ETL/ELT skills.
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Add a cover letter if possible (personalize it to emphasize alignment with Amex’s values).
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Fill Out Personal & Professional Details
Provide your:-
Contact info
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Education
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Work history
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Skills (use keywords from the job description).
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Answer Application Questions
Some applications include pre-screening questions (e.g., years of experience, cloud certifications, right to work in location, etc.). -
Review & Submit
Double-check everything before submission. Once submitted, you should receive a confirmation email.Apply here
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Why Choose the Data Engineer III American Express Role?
Here are some strong motivators for considering this position:
- Impactful Work: Your pipelines and models will underpin decision-making across financial products, risk, operations, and customer services.
- Technical Growth: Exposure to large-scale systems, advanced data engineering tools, and the chance to lead architecture decisions.
- Prestigious Brand & Stability: Working with a global financial institution known for strong tech infrastructure and long-term opportunities.
- Cross-Domain Exposure: Work across diverse domains — payments, fraud, analytics, operations — giving you valuable domain breadth.
- Collaboration & Culture: You join a team of seasoned engineers, data scientists, and domain experts where best practices and learning are valued.
👉 Join now and start building your first project today!
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