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Senior Data Engineer - job 10 of 19

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

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.  American Express 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.

Key Responsibilities: 

  • Partner with business, product, engineering and data science teams to unlock the power of leveraging data across Amex.
  • Partner with development teams in the data design of complex solutions and ensure that they are in alignment with the data architecture principles, standards, strategies, and target states.
  • Drive Data vision, strategy, and execution that meets the technology and business needs across complete Database development lifecycle including identifying the Right database for the need, Database design following all Functional & Non-functional requirements assuring Highly Available, Scalable and Performant solutions
  • Discover database requirements and translate into conceptual, logical, physical database design
  • Adopt industry leading Database technologies duly leveraging On-prem & Public Cloud to support best-in-class business capabilities to deliver secured, cost efficient, high performance computing and data storage solutions with cost efficiencies and collaborate in evolving enterprise standards & best practices
  • Be a thought leader around all things Data, reviewing current and future needs with big picture thinking
  • Communicates and works collaboratively with Product, Architects & Engineers to support deliver business priorities in an agile environment
  • Continuous learning & evaluation of DBMS features and functions to drive efficiencies & drive adoption
  • Contributes to decisions about tools, methods and processes

 Required Skills: 

  • Bachelor’s Degree in Computer Science, Computer Science Engineering, or related STEM field required; advanced degree preferred.
  • 10+ years of Database Development with Architecture & Design experience in a professional environment and/or comparable experience.
  • Demonstrated Hands-on experience on Relational & NoSQL Databases on Public Cloud and On-Prem such as PostgreSQL, Oracle, MongoDB, Couchbase, Cassandra etc including Database Design, DB Development lifecycle activities, Performance tuning, troubleshooting issues, Backup and recovery, Physical & Logical replication solutions including GoldenGate usage are preferred
  • Practical experience with Data Architecture, translate business data requirements into Conceptual, logical, physical data models by using industry standard Data modeling products like Hackolade, ERStudio etc
  • Experience with cross-team collaboration efforts including multiple development, infrastructure, engineering and production support teams in a dynamic environment.
  • Strong Experience in one of the public cloud platforms like AWS and GCP are preferred.
  • Experience supporting DBA activities for distributed/multi-tier systems and application development, including programming languages such as Shell, Python, Go, Java
  • Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline.
  • Experience developing tools for database automation
  • Strong analytical and problem-solving skills preferred
  • Experience and knowledge of data security and privacy concerns

Salary Range: $110,000.00 to $190,000.00 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 our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

  • 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 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 work in a hybrid model (combination of in-office and virtual days).

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Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

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Average salary estimate

$150000 / YEARLY (est.)
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$110000K
$190000K

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What You Should Know About Senior Data Engineer, American Express

Are you ready to take your career to the next level with American Express as a Senior Data Engineer? Located in the sunny Sunrise, Florida, you'll be part of a dynamic team that values innovation and collaboration. In this role, you'll partner with cross-functional teams, including business, product, engineering, and data science, to leverage data strategically across the organization. Your expertise in database architecture and design will drive our data vision and execution, ensuring that our solutions are state-of-the-art and meet both business and technological needs. You'll get to flex your skills with both relational and NoSQL databases in cloud environments and on-prem, making sure we're always at the forefront of best practices. At American Express, your voice and ideas will be welcomed as you architect, code, and ship software that is pivotal to our customers’ digital lives. Plus, we invest in your growth with dedicated professional development time and opportunities to innovate. As part of Team Amex, you’ll not only contribute to projects but also be celebrated for your impact in a supportive and inclusive atmosphere. Join us to shape the future of data engineering and make your mark in a place where everyone feels they belong. Let’s lead the way together!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at American Express
What are the responsibilities of a Senior Data Engineer at American Express?

As a Senior Data Engineer at American Express, you will be responsible for collaborating with various teams to unlock the potential of data across the organization. Your duties will include driving data vision and strategy, designing complex database solutions, ensuring alignment with data architecture principles, and translating business data requirements into effective data models. You'll also be involved in continuous learning and adoption of industry-leading database technologies.

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What qualifications are needed for the Senior Data Engineer position at American Express?

To qualify for the Senior Data Engineer role at American Express, candidates should possess a Bachelor's Degree in Computer Science or a related STEM field, with an advanced degree preferred. Additionally, you should have at least 10 years of database development experience coupled with strong skills in relational and NoSQL databases. Hands-on experience with cloud platforms such as AWS or GCP and proficiency in programming languages like Python and Java are essential.

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What type of technologies will a Senior Data Engineer work with at American Express?

A Senior Data Engineer at American Express will work with a variety of technologies, including both on-premises and cloud-based relational and NoSQL databases such as PostgreSQL, Oracle, and MongoDB. You'll also gain exposure to the latest in data management frameworks and tools while ensuring high-performance data solutions in an agile environment, giving you the chance to innovate with cutting-edge technologies.

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How does American Express support the professional growth of its Senior Data Engineers?

American Express is dedicated to the professional growth of its employees, especially Senior Data Engineers. The company provides dedicated time for professional development, access to training opportunities, and encourages involvement in the broader engineering community. This support enables you to keep your skills fresh and relevant, which is crucial in the rapidly evolving tech landscape.

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What is the work environment like for a Senior Data Engineer at American Express?

The work environment for a Senior Data Engineer at American Express is collaborative, inclusive, and empowering. You'll work alongside a diverse team of talented engineers in an open atmosphere where your ideas and contributions are valued. The company's commitment to flexibility means you'll have a hybrid work model that promotes a healthy work-life balance, ensuring you're productive while feeling supported.

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Common Interview Questions for Senior Data Engineer
Can you explain your experience with database architecture in the Senior Data Engineer role?

When answering this question, focus on specific projects where you were responsible for database architecture. Discuss how you approached the design process, the technologies you utilized, and how you ensured that the architecture met both performance and scalability requirements. Show how your contributions directly impacted business outcomes.

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How do you ensure data security and privacy in your projects?

In response to this question, emphasize your understanding of data security best practices and regulations. Explain specific measures you've implemented in past projects to protect sensitive information, such as encryption, access control, and regular audits. Reference any experience you have with compliance requirements relevant to the databases you're working with.

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What is your approach to collaboration with cross-functional teams?

When preparing your response, highlight instances when you worked with different teams, such as business analysts or data scientists, to achieve project goals. Discuss your communication style, how you ensure alignment, and the tools or frameworks you use to foster collaboration effectively.

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Describe a challenging database problem you faced and how you resolved it.

For this question, use the STAR method (Situation, Task, Action, Result) to outline a specific challenge you encountered within a database project. Detail the steps you took to diagnose the issue, implement a solution, and the positive outcome that followed. This showcases your problem-solving skills and resilience.

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How do you stay updated with new database technologies and trends?

Share your strategies for continuous learning, such as following online courses, participating in industry forums, or engaging in open-source projects. Highlight any certifications you've earned or conferences you attend to keep abreast of the latest developments in the field, demonstrating your commitment to professional growth.

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What experience do you have with database performance optimization?

In your answer, provide examples of specific performance optimization techniques you've employed in past projects, such as query tuning, indexing strategies, or hardware configurations. Use numerical data to illustrate the improvements you've achieved to convey the impact of your efforts convincingly.

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Can you describe how you handle database migrations?

When discussing database migrations, focus on a specific instance where you completed such a project, outlining your planning process, the tools you used, and how you ensured minimal downtime and data integrity. Emphasize your attention to detail and ability to coordinate with other team members during the migration process.

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What role does Agile methodology play in your data engineering projects?

Talk about your experience working in Agile teams, including how you adapt to changing requirements and your participation in sprint planning and retrospectives. Provide examples of how Agile practices have enhanced the efficiency of data projects you've worked on, highlighting your flexibility and teamwork.

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How do you prioritize data quality in your workflows?

Emphasize the importance of data quality in making informed decisions. Share methods you employ to ensure data quality, such as regular validations, automated data cleaning processes, and establishing metrics for data accuracy. This reflects your commitment to delivering high-quality outcomes.

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What programming languages and tools do you use for interacting with databases?

When answering this, list the programming languages you're proficient in, such as Python, Java, or Go, alongside database management tools you've utilized, like ERStudio or Hackolade. Illustrate how you've leveraged these tools effectively in your previous roles to improve data handling and productivity.

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3018 jobs
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BADGES
Badge Family FriendlyBadge Office VibesBadge Work&Life BalanceBadge Rapid Growth
CULTURE VALUES
Inclusive & Diverse
Empathetic
Collaboration over Competition
Growth & Learning
Transparent & Candid
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Mental Health Resources
Life insurance
Disability Insurance
Child Care stipend
Employee Resource Groups
Learning & Development
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 18, 2025

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