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Engineer - Java, Python, Big Data, SQL/No SQL, RESTAPI - Enterprise Data Management and AIML Engineering

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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. 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.

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 U.S. Consumer and Digital Technology (USCDT) 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.

Responsibilities:

Working closely with AI/ML Research teams, Data Scientists and Product Owners in analyzing business features and refining them to appropriately support design and build activities.
Performing all development for assigned applications including architecture, design, developing prototypes, writing new code and API's and performing unit and assembly testing of developed software also as needed
Coding and implementation of re-usable ML solutions
Enabling the deployment, support, and monitoring of software across test, integration, and production environments
Combine Data Science and Engineering skills to solve interesting problems that directly and greatly impact millions of individuals worldwide
Help craft the direction of machine learning and artificial intelligence at AmEx

Minimum Qualifications:

Bachelor’s degree in Computer Science, Computer Engineering, Statistics or related fields.
3 to 5 years of software development experience
Strong analytical skills and programming skills, with experience with deployment in production environment.
3+ years hands-on experience with the following technologies:
JAVA & Python
Big Data – Spark/Hive/Hbase
SQL/ NoSQL
REST API and services
Implementation or working experience of Continuous Integration and Continues Delivery using tools and automation capabilities such as JUnit, Mocking, TestNG, Jenkins, Git, Stash and Jira
Experience supporting and working with cross-functional teams in a dynamic environment
Ability to effectively communicate with internal and external business partners

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. 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, but not limited to, 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

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

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CEO of American Express

Stephen J Squeri

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$117500 / YEARLY (est.)

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What You Should Know About Engineer - Java, Python, Big Data, SQL/No SQL, RESTAPI - Enterprise Data Management and AIML Engineering, American Express

As a Java, Python, Big Data, and SQL/No SQL Engineer at American Express, you will be part of an innovative team at the forefront of technology. In this exciting role, you’ll collaborate closely with AI/ML Research teams, Data Scientists, and Product Owners to transform business requirements into robust software designs. You should expect to dive into developing applications that include architecture, design, and creating prototypes that impress. Whether it's coding reusable ML solutions or deploying and monitoring software across various environments, your contributions will directly impact millions worldwide. Your background in computer science or engineering, combined with your 3-5 years of solid software development experience, will empower you to tackle interesting challenges head-on. Familiarity with technologies like JAVA, Python, Big Data, and REST API is essential to make a significant mark here. At American Express, we offer supportive measures for your overall well-being and provide numerous opportunities for career growth. Your voice will matter, and your ideas will help us shape the future of our tech landscape. Join us in Phoenix, AZ, where together, we empower innovation and create a lasting impact through technology. Here’s where your journey with Amex Tech means something bigger—let’s make it worthwhile together!

Frequently Asked Questions (FAQs) for Engineer - Java, Python, Big Data, SQL/No SQL, RESTAPI - Enterprise Data Management and AIML Engineering Role at American Express

What are the key responsibilities of a Java, Python, Big Data Engineer at American Express?

As a Java, Python, Big Data Engineer at American Express, you will be primarily responsible for collaborating with AI/ML Research teams and Data Scientists to analyze business requirements. This involves developing applications, designing prototypes, writing new code, and implementing reusable ML solutions that will impact millions. Additionally, you'll enable software deployment and monitoring across various environments, all while ensuring sustainable and scalable engineering practices are in place.