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American Express Data Entry Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... technology and data insights. Global Commercial Services (GCS) serves millions of business ... At American Express, our culture is built on a 175-year history of innovation, shared values and ...

Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights. At American Express, our ...

Sr AI Engineer I

Phoenix, AZ · Hybrid

$103K - $142K/yr

Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights. At American Express, AI ...

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American Express Data Entry information

See Arizona salary details

$10

$18

$26

How much do american express data entry jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for american express data entry in Arizona is $18.15, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $20.38 per hour, depending on experience, location, and employer.

What is an American Express data entry?

An American Express Data Entry job involves entering, updating, and managing data related to financial transactions, customer accounts, and company records. Employees in this role must ensure accuracy, efficiency, and confidentiality while handling sensitive information. They may also be responsible for verifying data, correcting errors, and maintaining databases. Strong typing skills, attention to detail, and familiarity with data management systems are essential for success in this position.

What does an American Express data entry do?

As an American Express Data Entry professional, your typical day involves accurately inputting transaction data, verifying account information, and updating records in internal systems. You may also be responsible for cross-checking data for errors, generating basic reports, and coordinating with other teams to resolve discrepancies. The work is often structured and deadline-driven, requiring strong focus and time management skills. Attention to detail ensures you help maintain the integrity of sensitive financial information, while collaboration with colleagues supports smooth operations across various departments.

What are the key skills and qualifications needed for an American Express data entry?

To thrive as an American Express Data Entry professional, you need strong attention to detail, accuracy, and fast typing skills, typically supported by a high school diploma or equivalent. Familiarity with data management software like Microsoft Excel, CRM systems, and proprietary payment processing platforms is essential. Organizational ability, time management, and a proactive approach to problem-solving are valuable soft skills in this role. These qualities are crucial for maintaining data integrity, meeting transaction deadlines, and supporting seamless business operations.

Which American Express Data Entry jobs are legit?

Legitimate American Express data entry jobs are typically posted on official company career pages or reputable job boards. These roles usually involve tasks like inputting customer information, verifying data accuracy, and may require basic computer skills and attention to detail. Be cautious of scams that ask for upfront payments or personal information before employment confirmation.

What are popular job titles related to American Express Data Entry jobs in Arizona?

For American Express Data Entry jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for American Express Data Entry jobs?

Cities in Arizona with the most American Express Data Entry job openings:

Infographic showing various American Express Data Entry job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $37,746 per year, or $18.1 per hour.

Senior Data Engineer - Enterprise Data Platforms and Data Management - Enterprise Data & AI

Phoenix, AZ


American Express

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

25th of 152 rated financial services

Good employer

Recommended by parents

Respectful managers


$105K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago


Job description

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

Enterprise Data & AI (EDAI) within Enterprise Technology Services (ETS) is driving the next generation of enterprise data management, governance, lineage, and AI-enabled engineering capabilities at American Express. We are looking for a highly motivated Senior Data Engineer / Technical Lead to help lead and scale our enterprise data lineage and metadata platforms supporting regulatory, operational, and AI readiness initiatives across the company.

This role is ideal for an engineering leader with a strong blend of software engineering, distributed systems, data platform expertise, and innovation mindset who thrives in solving complex enterprise-scale problems. You will partner across engineering, architecture, governance, risk, and business teams to build scalable, cloud-native solutions that improve data transparency, lineage, interoperability, and automation across the enterprise.

You will play a key role in modernizing enterprise data management capabilities through event-driven architectures, GenAI-powered automation, and reusable engineering frameworks.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience our 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.

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
  • 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

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers - Click to view the "Know Your Rights" poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.


The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 8+ years of experience in software engineering, data engineering, or enterprise data platforms
  • Strong hands-on expertise in:
    • Java, Python, SpringBoot
    • Distributed systems and event-driven architectures
    • GCP services and cloud-native engineering
    • APIs, microservices, and scalable backend development
  • Experience with Kafka, Pub/Sub, streaming pipelines, or real-time data processing
  • Strong understanding of metadata management, data lineage, governance, or enterprise data platforms
  • Experience delivering scalable, secure, and highly available systems
  • Strong problem-solving, communication, and stakeholder management skills
  • Proven ability to drive end-to-end delivery across multiple teams and stakeholders
  • Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions

Preferred Qualifications:

  • Experience with GenAI/LLM-powered engineering solutions and AI-assisted development tools
  • Familiarity with data governance and management domain knowledge, platforms related technologies
  • Experience with GCP BigQuery, Dataproc, BigTable, and Cloud Composer/Airflow
  • Strong understanding of enterprise integration patterns, CDC, and streaming architectures
  • Exposure to metadata-driven frameworks and self-service data onboarding capabilities
  • Passion for innovation, platform engineering, and solving enterprise-scale data challenges


     

  • Lead design and implementation of scalable enterprise data lineage and metadata solutions across cloud-native and distributed platforms.
  • Drive end-to-end engineering delivery for lineage onboarding, metadata ingestion, APIs, and interoperability capabilities.
  • Develop modern backend services and reusable frameworks using Java, Python, SpringBoot, GCP, and event-driven architectures.
  • Leverage GenAI and automation to improve metadata enrichment, lineage discovery, and operational efficiency.
  • Partner with Architecture, Governance, Risk, Product, and Engineering teams to deliver enterprise-scale data management capabilities.
  • Lead technical design discussions, mentor engineers, and promote engineering excellence and innovation.
  • Strengthen platform reliability, observability, scalability, and operational support across data pipelines and services.
  • Champion modern engineering practices including CI/CD, automation, resiliency, and secure software development.

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