Data Engineers - job 7 of 17

Data Engineers at American Express Travel Related Services Company, Inc. are responsible for collaborating with product teams to understand business data requirements, identifying data sources, and creating efficient data architectures. They also document data needs, maintain data models, and ensure the effective integration of these models into existing architectures to support smooth operational processes.

To apply for the Data Engineer position at American Express, you should have a Master's degree in Computer Science, Engineering, Information Systems, or a related STEM field, along with 2 years of experience in database administration. Furthermore, candidates must possess specific skills, such as experience with Cassandra, Couchbase, data model design tools, and automation tasks, making this role perfect for those with a strong technical background.

Data Engineers at American Express utilize a variety of tools including Cassandra and Couchbase servers, IDE tools like Eclipse and IntelliJ, and issue management systems like Jira. They also work with data model design tools and source control management tools such as GIT and Mercurial, ensuring sound database architecture and development practices.

Yes! American Express allows telecommuting for the Data Engineer position, which means you can work from anywhere in the U.S. This flexibility encourages a balanced work-life environment, allowing you to engage fully while supporting our data infrastructure.

American Express offers a comprehensive benefits package for Data Engineers, including competitive salaries, bonus incentives, a generous 6% matching contribution on retirement savings, extensive medical, dental, and vision coverage, as well as paid parental leave for all parents. They also provide access to wellness centers, financial coaching, and career development opportunities to enhance employee well-being.

When answering this question, highlight your specific experiences managing databases, your familiarity with tools used, and any notable projects you've worked on. Be sure to incorporate your experiences with Cassandra and Couchbase, showcasing the outcomes of your database management efforts.

Discuss your processes for maintaining data integrity, such as developing validation procedures, performing regular audits, and implementing strategies for error detection and correction. Provide examples of how your practices helped avert data inaccuracies in previous roles.

Be prepared to explain the methodologies there are different design strategies like normalization and denormalization, schema design, or star schema. Reference your experiences designing databases for complex data environments and how those choices benefited your teams' productivity.

Outline your experience with specific NoSQL databases like Cassandra and Couchbase, providing examples of how you've leveraged their flexibility and scalability in real-world applications to address business challenges.

Explain the strategies you use to monitor database performance, such as writing efficient queries, indexing, and using tools for performance tracking. Share experiences wherein your optimization efforts led to marked improvements in system performance.

Use a specific incident to highlight your problem-solving abilities. Describe the challenges you faced, the steps you took to address them, and the positive outcome from your intervention to showcase your initiative and expertise.

Demonstrate your collaborative approach and communication skills by discussing how you would translate technical concepts into understandable terms for non-technical stakeholders. Include examples of how you've successfully managed similar situations in the past.

Talk about your experience with developing scripts for automation and how this has influenced efficiency in your past roles. Highlight specific tools you've used along with examples to illustrate the benefits of automation.

Mention the resources you use—whether it's industry publications, online courses, or professional networking groups. Share instances of how you've recently applied new technologies or methodologies to improve your work processes.

Discuss your approach to error identification, analysis, and remediation. Highlight the importance of quick reporting, collaboration with the team for resolution, and preventative measures to ensure similar errors don’t occur in the future.