Remote Staff Engineer, Commercial Data Engineering (Work from Home Opportunity)

  • Full Time
  • High Paying
  • Remote
  • 170,000.00 to $255,000.00 USD / Year
  • Applications have closed
  • Telecommute: TELECOMMUTE
  • Company Address: 101 Hudson St 34th Floor, Jersey City, NJ 07302

American Express

Job Description
Work Location Options:
Hybrid/Virtual

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.


At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let’s lead the way together.


As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex0


Architect, code and ship software that makes us an essential part of our customers’ digital lives.

How will you make an impact in this role?

Mentor our data engineering teams, helping them to grow and strive for technical excellence.
Drive efficiencies across GCS’s data platform to streamline how our teams build & how our platform will scale.
Architect and build scalable, resilient, performant, extensible big-data systems to solve organizational data problems.
Collaborate our data partners and technology teams to influence, design, and execute technical roadmaps.


Minimum Qualifications

Deep understanding with hands-on experience building architectural patterns for highly available, scalable, distributed data systems.
Excellent written and verbal communication skills.
Expertise with a major cloud vendor (AWS/GCP).
Expertise with Spark, Python, SQL.


Preferred Qualifications

Experience building unified data driven solutions with a data-lakehouse enabling solution like Databricks.
Experience designing reusable frameworks for data engineering pipelines and data governance controls.
Experience building event driven data streaming solutions.
Salary Range: $170,000.00 to $255,000.00 annually + bonus + equity (if applicable) + benefits

The above 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.


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.

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.

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