Data Engineers - job 14 of 17

Data Engineers at American Express are tasked with working alongside product teams to identify and understand business data requirements. They create data architectures, document data needs, and ensure seamless integration into existing systems. Other responsibilities include database design reviews, performing user acceptance testing, and monitoring industry trends to enhance database performance.

To qualify as a Data Engineer at American Express, candidates must hold a Master's degree in Computer Science, Engineering, Information Systems, or a related STEM field. Additionally, they should have at least 2 years of experience in database administration, with specific expertise in tools like Cassandra, Couchbase, and various automation and monitoring technologies.

Yes, American Express offers flexibility for Data Engineers to telecommute from anywhere in the U.S. This allows team members to balance their professional and personal lives effectively, making it an appealing opportunity for candidates looking for remote work.

Data Engineers at American Express work with a variety of technologies, including Cassandra, Couchbase, and NoSQL databases. They also utilize automation scripting, database testing tools, and data model design tools to ensure high performance and seamless database integration.

American Express provides a comprehensive benefits package for Data Engineers, which includes competitive base salaries, performance bonuses, a robust retirement plan with company matching, comprehensive health plans, and generous paid parental leave, among other perks aimed at supporting holistic well-being.

When answering this question, highlight specific instances where you administered databases, mentioning the types of databases you’ve worked with and any challenges you overcame. Discuss tools you used, such as Cassandra or Couchbase, and emphasize your role in maintaining data integrity and performance.

In your response, provide a detailed overview of the project’s objectives, your role, the challenges faced, and how you collaborated with stakeholders. Mention technical methodologies and tools used and describe the project's outcome and its impact on the organization.

Explain your strategies for maintaining data quality, such as implementing validation rules, conducting regular audits, and engaging in rigorous testing methodologies. Provide specific examples of how you’ve previously ensured data integrity in past roles.

Discuss the NoSQL databases you have worked with, particularly Cassandra and Couchbase. Highlight any specific technologies or frameworks you've utilized, the type of data you managed, and any optimizations you implemented to enhance performance or scalability.

Outline your approach to database testing, including the kinds of tests you perform such as unit tests, integration tests, and user acceptance testing. Be sure to share any specific tools or frameworks you used and how these tests helped ensure system reliability.

Provide a narrative of a specific database issue you encountered, detailing the diagnosis process, steps taken to resolve the problem, and the importance of effective communication with your team during this time. Focus on the lessons you learned from the experience.

Discuss your preferred methodologies and tools for database design, emphasizing your usage of design tools and data modeling strategies. Mention how your designs aligned with business objectives and enhanced data access and retrieval.

Share your strategies for staying current, such as participating in webinars, following industry-leading blogs or journals, and attending conferences. Discuss how these updates influence your work and decision-making processes.

Detail specific examples of automation you have implemented in your previous roles, highlighting tools and scripting languages used. Emphasize how automation improved efficiency, reduced errors, or enhanced database system performance.

Emphasize your passion for data engineering and appreciation for American Express's commitment to innovation and diversity. Mention specific projects or values that resonate with you, and how you believe your skills align with their mission.