Data Engineers - job 12 of 17

As a Data Engineer at American Express, your key responsibilities include collaborating with product teams to understand business data requirements and creating efficient data architecture. You will document data needs, support system integrations, design databases, and ensure seamless operation through robust database infrastructure. Your role also includes monitoring database performance, testing, and making continuous improvements to adapt to emerging technologies and trends.

To qualify for the Data Engineer position at American Express, you must possess a Master's degree in Computer Science, Engineering, Information Systems, or related STEM fields, alongside two years of experience in database administration. Additionally, having at least one year of experience with technologies such as Cassandra, Couchbase, and various development tools will make your application stand out.

Yes, the Data Engineer role at American Express offers telecommuting options, allowing you to work from anywhere in the U.S. This flexibility helps create a balance between your professional and personal life, making it easier to meet your commitments while contributing to a leading company!

You'll work with an array of technologies at American Express, including administering Cassandra Clusters, monitoring Couchbase Servers, and utilizing tools for automation, UAT, and data modeling. Familiarity with programming and database management tools like Eclipse, IntelliJ, and various source control systems like GIT will ensure your success in this role.

American Express offers a comprehensive benefits package for Data Engineers, including competitive salaries, bonus incentives, retirement savings plans with company matching, and extensive medical, dental, and vision coverage. Additionally, you will have access to career development opportunities and support programs aimed at enhancing your holistic well-being, such as financial coaching and paid parental leave.

In your response, detail your hands-on experience with Cassandra, specifically mentioning tasks such as cluster setup, monitoring via DataStax OpsCenter, and how you ensure optimal performance and availability.

Discuss your methodology for designing databases, touching on your experience with normalization, indexing, and performance testing. Highlight your skills in translating user requirements into logical and physical designs.

Provide insights into the tools you’ve used, such as Nagios for monitoring Couchbase servers or Eclipse for development. Explain how these tools have helped improve efficiency and effectiveness in your previous roles.

Share a specific instance where you faced a complex issue, detailing the steps you took to analyze, troubleshoot, and eventually resolve the problem, demonstrating your critical thinking and problem-solving skills.

Discuss your practices for maintaining data integrity, like conducting regular audits, implementing validation checks, and using version control systems to track changes.

Explain your proactive approach to database monitoring, such as setting alerts for performance thresholds, using monitoring tools, and conducting regular performance reviews to optimize databases.

Outline your experience with NoSQL databases, specifying which types you’ve worked with, the projects you’ve managed, and how you’ve utilized their flexibility to meet specific data needs.

Share the resources you rely on to keep your skills sharp, such as industry webinars, online courses, or professional networking groups. Highlight how continual learning enhances your capabilities as a Data Engineer.

Describe your role in UAT processes, focusing on how you gather feedback from users, test the functionality, and how you use results to ensure the database meets user requirements.

Emphasize the importance of teamwork in your projects, and provide examples of how you've collaborated with product teams and stakeholders to achieve common goals and enhance project outcomes.