Job Details

Description

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.

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 #TeamAmex.

Let’s share success.

Infrastructure Data & Analytics aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost transparency.

As the Data Science team in Infrastructure Data & Analytics is building and deploying machine learning (ML) models and Gen AI solutions, we are looking for a senior data engineer to build and deploy data engineering pipelines in production that support these ML models and AI/Gen AI solutions. This is an individual contributor role with responsibilities ranging from hands-on coding, debugging, documentation to stakeholder management and presentations.

Let’s build on what you know.

If you are a pioneer in building data pipelines and data-based storytelling, you'll find a fit in our Data Science team within Infrastructure Data & Analytics. To succeed in this newly forming team, you’ll need to be comfortable navigating ambiguity to stand up solutions 0?1 while discovering and leveraging enterprise platforms and best practices.

Here’s just some of what you’ll do:

• Create and maintain robust data pipelines to ingest data from a wide variety of structured and unstructured data sources that support ML models and Gen AI solutions

• Own the data pipeline build from identifying business problems, discovery through interviewing stakeholders, hands-on coding, analyzing data & results to delivering production grade solutions at scale

• Implement automated data quality frameworks to ensure the accuracy and reliability of our incoming data sources

• Manage all technical aspects of data architecture and database management, including developing prototypes, new database structures, and application programming interfaces

• Transform logical data architectures into physical designs and continuously improve database design and performance

• Maintain our database and data pipelines across cloud and on-premises systems including but not limited to S3 buckets, vector database and knowledge graph database

• Drive high-level and detailed technical design and architecture conversations. Ensure best practices are aligned with Enterprise Architecture and Decision Science COEs

• Own and deliver documentation and processes required for privacy risk assessment, model governance and enterprise data governance

• Innovate and elevate the department and enterprise to adopt new solutions that are already a best practice within the industry

• Generate insightful data visualization and reports to aid in decision-making based on data availability, data quality and understand usage statistics

• Lead training sessions and create comprehensive documentation to empower the data science team and broader department

• Provide technical mentorship to team members at junior levels including peer code reviews

• Function as member of an agile team by contributing to software builds through consistent development practices (tools, common components, and CI/CD pipelines)

Are you up for the challenge? Here’s what you should have:

• Bachelor’s degree in data science, engineering, computer science or a STEM field; advanced degree preferred

• 5 years of experience writing accurate and effective code for data manipulation and analysis in SQL and Python

• Experience building scalable data pipelines working with high volumes of both structured and unstructured data

• Knowledge of Big Data / NoSQL design and development with variety of data stores (document, column family, graph, vector DB etc.)

• Experience with scaling search across vectorDB and GraphDB in a Graph-RAG architecture is a plus

• Knowledge of database management system products and ecosystem - e.g., storage formats, access algorithms, data management processes, administration, data maintenance, replication, high availability, encryption, etc.

• Knowledge of XML/JSON and schema development/reuse, relational database management systems with proficiency in SQL/BigQuery

• Hands-on expertise with distributed (multi-tiered) systems, algorithms, application development and automated testing

• Experience working with modern data storage, processing, orchestration technologies including creating CI/CD pipelines with Github Actions

• Strong analytical, problem-solving and project management skills, coupled with a continuous improvement mindset

• Excellent communication skills, capable of explaining complex data issues in simple terms to a diverse audience

• A self-starter mindset with the ability to thrive in ambiguous environments and the resilience required to innovate

Qualifications

Salary Range: $123,000.00 to $215,250.00 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 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, 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.

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

Job: Technologies

Primary Location: US-New York-New York

Schedule Full-time

Req ID: 25021949