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, youll 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.

The Finance Data Engineering group at American Express is entering into a new phase of technology transformation driven by opportunities to simplify processes, deepen business intelligence, analytics and reporting, and raise operational efficiency. If you have the talent and desire to deliver innovative products and services at a rapid pace, with hands on experience and strategic thinking, in areas of data management and analytics, cloud computing, and modern software engineering, join our leadership team to be part of our transformation journey.

What we’re looking for:
As a Data Engineer, you will deliver technical solutions passionate about Finance’s cloud adoption strategy using innovative technologies and industry standard processes to implement cloud platform. You should have experience in crafting enterprise-scale technical product requirements and delivering public cloud services, with a strong preference for Google Cloud, partnering with multiple tech and product teams, exposure to finance-oriented business processes, and ability to bring operational efficiency on deliveries. Knowledge in technologies such as GCP, Big data, SQL, NoSQL etc. Be part of a fast-paced Agile team, design, develop, test, troubleshoot & optimize solutions created to simplify access to the Amexs Big Data Platform.

Minimum Qualifications

Up to 4+ years of data engineering software development experience in a professional environment and/or comparable experience.
Bachelor’s degree in computer science, computer engineering or equivalent is required with hands-on expertise with application design, software development and automated testing.
Successful engineering and deployment of enterprise-grade technology products in an Agile environment.
Large scale software product engineering experience with contemporary tools and delivery methods in a complex environment (i.e. DevOps, CD/CI, Agile, etc.).
Hands-on delivery experience in the in-memory frameworks and fundamental components of the assigned portfolio’s primary technology stack(s) (some of them include Java/J2EE, NodeJS, Python, Big Data Technologies, Apache Flink, Apache Beam, SingleStore, No-SQL Databases, Relational Databases, JSON, XML, REST, Kafka etc.).
Experience in jobs orchestration using Airflow and Automic.
Expertise in designing and implementing robust data engineering pipelines for ETL and ELT workflows.
Proficient in data engineering best practices for data ingestion, transformation, and orchestration.
Strong understanding of data engineering concepts like data partitioning, sharding, and schema evolution.
Skilled in optimizing data engineering processes for scalability, reliability, and performance.
Hands-on experience with cloud-based data engineering platforms (AWS Glue, GCP Dataflow, Azure Data Factory).
Knowledge of data engineering techniques for ensuring data quality, lineage, and governance.
Familiarity with data engineering patterns for batch and real-time data processing.
Analyze, debug and fix the Apache Beam and Flink data pipelines orchestration, quality and performance.
Highly proficient in SQL and PL/SQL.
Hands-on delivery experience in the high-performance enterprise grade APIs and microservices using multiple architectural and design patterns.
Experience as a leader within a Technology organization and/or in a product development company with experience that compliments the software product portfolio etc.
Creation of Engineering Best Practices adopted by a large segment of the technology organization.
Creation of tools or other technologies that become integral to the operation of the platform.
Successful assimilation of new technology into an existing technology stack.
Outstanding influential and collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross communication process.
Technical expertise related to the core components of the Technology Platform’s tech stack, as well as delivery optimization techniques in a ‘total dev’ continuous delivery environment.
Ability to effectively communicate with internal and external business partners.

Preferred Qualifications

Knowledgeable and experienced with in-memory computation and data virtualization tools & techniques.
Experience in data engineering of financial data.
Knowledge of GCP, Kubernetes and Docker.
Experience in memory first databases like SingleStore.
Experience with DevOps tools, automating engineering and operational tasks.

Annual 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 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. Thats 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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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.