Full Stack Engineer - Java - Enterprise Data Management

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 #TeamAmex 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.  American Express 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 of #TeamAmex.

The U.S. Consumer Services and Enterprise Digital & Data Technology Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance. It employs a ground-breaking focus with development responsibilities for customer-facing capabilities that deepen and expand digital engagement, as well as core technical capabilities that cut across business lines and customer segments.

AMEX is always innovating and is on accelerated growth path. Data as an asset plays a significant role in all these. In leveraging the power of data, understanding it end to end with responsibility is very critical. Our team is at the center of this and in creating an end to end self service comprehensive data management capabilities and platforms around data

How will you make an impact in this role?

There are hundreds of opportunities to make your mark on technology and life at American Express. Here’s just some of what you’ll be doing:

• Taking your place as a core member of an agile team driving the latest development practices.
• Writing code and unit tests, working with API specs and automation.
• Finding Opportunities for adopting new technologies.
• Leading a team of engineers that delivers knowledge management solutions to businesses worldwide.

If you have a strong will to learn and educate and are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! 

This is an opportunity to lead the Enterprise Tech Data Management while heavily influencing the Enterprise Machine Learning Platform and Enterprise Real-Time Event Processing & Analytics Platform to support the end-to-end development and execution of Amex's data management initiative. You will be solving very interesting problems that directly and greatly impact millions of individuals worldwide. There are hundreds of opportunities to make your mark on technology and life at American Express.

Responsibilities

• Be a very skilled engineer with experience across programing languages, data integration technologies and data management pipelines.
• Partner with business, product, engineering, and data science teams to unlock the power of using data across Amex by translating business requirements/problems to solutions, products, or services.
• Partner Enterprise Tech Data Strategy & Architecture team to develop and implement software that meets the technology and business' needs including creating a highly scalable data management pipelines comprising of operational and product data to build a Data fabric foundation for the company.
• Engineer complex solutions and ensure that they are in alignment with the data architecture principles, standards, strategies, and target states.
• Adopting industry leading technologies to support best-in-class business capabilities for high quality computing and data storage solutions.

Minimum Qualifications

• 5+ years of hands-on experience with one or more major programming/scripting languages such as Java, Python, Scala or NodeJS.
• Bachelor’s Degree in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, Financial Engineering, or related STEM fields. Advanced degree preferred.
• 4+ years of experience working with data integration technologies such as Spark & Kafka.
• 4+ years of experience in working with microservices, web services & API based integration patterns using REST/SOAP, Mulesoft ESB etc.
• 4+ years of experience in working with high-scale or distributed RDBMS and/or NoSQL platforms (e.g. PostgreSQL, Redshift, BigQuery, Couchbase, MongoDB, Cassandra, HBase, Neo4J etc.).
• Proficiency in working with Linux commands and scripting and experience in CICD pipeline setup and e2e automation for build, test, and deployment.
• Exposure on UI development using JS, React/Redux, HTML5, CSS is required.
• Previous experience in working with ETL tools such as Informatica, Talend, Pentaho and/or similar tools is a plus.
• Current hands-on experience with industry leading data management tools is a plus.
• Experience supporting and working with multi-functional teams in a dynamic environment.
• Strong analytical skills and algorithmic problem-solving skills.
• Knowledge of / experience with Machine Learning is a plus.
• Knowledge of / experience with Docker/Kubernetes and one or more public cloud (AWS, GCP, Azure).

Salary Range: $85,000.00 to $150,000.00 annually + bonus + 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.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• 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.

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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Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.