The TBE Data Engineering (DE) team builds and operates trusted, governed data products and pipelines that enable analytics, reporting, and downstream applications across TBE. The team partners with product, analytics, architecture, risk, and finance to deliver scalable cloud data solutions, improve data quality and observability.
ResponsibilitiesA Data Engineer II should possess strong hands-on experience in building and managing scalable data pipelines using modern data engineering tools and technologies such as Python, PySpark, SQL, and GCP/AWS/Azure. The candidate should collaborate with cross-functional teams to ensure alignment with business needs and enterprise standards and have a solid understanding of data processing frameworks, performance optimization, and data quality practices.
Responsibilities:
Design, build, and optimize scalable data pipelines using Python/ PySpark/ sql
Develop and maintain ETL/ELT workflows on GCP/AWS/Azure
Work with GCP services such as BigQuery/Snowflake, Cloud Storage and Dataproc/EMR/Databricks etc
Ensure data quality, integrity, and performance across data systems
Collaborate with cross-functional teams to understand data requirements and deliver solutions
Monitor, troubleshoot, and optimize data workflows
Implement best practices for data engineering, including code quality, testing, and documentation
Bachelor's degree in Computer Science, Computer Engineering, and/or comparable experience; advanced degree preferred
Strong experience in Python and PySpark
Hands-on experience with Google Cloud Platform (GCP)/AWS/Azure
Good understanding of data warehousing concepts and data modeling
Familiarity with SQL and performance tuning
Knowledge of version control tools like Git
2+ years of hands-on experience in data engineering, with a strong focus on building and maintaining scalable data pipelines.
Proven experience working with Python, PySpark, and SQL for data processing, transformation, and analysis.
Hands-on experience with Google Cloud Platform (GCP) or any Equivalent Cloud services such as BigQuery/Snowflake, Cloud Storage, and Dataproc/Databricks/EMR, Airflow/Composer/Astronomer etc.
Experience in designing and implementing ETL/ELT workflows in a distributed data processing environment.
Strong experience in writing optimized SQL queries and performance tuning for large datasets.
Experience in handling large-scale data processing and working with distributed computing frameworks.
Exposure to data modeling, data warehousing concepts, and schema design.
Experience with workflow orchestration tools such as Apache Airflow (or similar).
Familiarity with version control systems like Git and CI/CD practices.
Strong troubleshooting and debugging skills in data pipelines and production environments.
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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our 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.
About the TeamWe 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
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- 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
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.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
Skills Required
- Bachelor's degree in Computer Science, Computer Engineering, or comparable experience
- Advanced degree (preferred)
- 2+ years of hands-on data engineering experience
- Strong experience in Python
- Strong experience in PySpark
- Proficiency in SQL and performance tuning
- Hands-on experience with GCP, AWS, or Azure
- Experience with BigQuery
- Experience with Snowflake
- Experience with Cloud Storage (cloud object stores)
- Experience with Dataproc
- Experience with EMR
- Experience with Databricks
- Experience designing and implementing ETL/ELT workflows in distributed environments
- Experience with workflow orchestration tools (Apache Airflow, Composer, Astronomer)
- Familiarity with Git and CI/CD practices
- Understanding of data warehousing concepts, data modeling, and schema design
- Strong troubleshooting and debugging skills in production data pipelines
American Express Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.
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Healthcare Strength — Pay is often viewed as attractive when combined with comprehensive health, dental, and vision coverage that supports day-to-day needs. The benefits package is also framed as especially helpful for those supporting dependents.
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Retirement Support — Retirement benefits are positioned as a meaningful part of total rewards through a 401(k) plan with company matching. Financial wellness services and coaching are also highlighted as strengthening longer-term financial security.
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Leave & Time Off Breadth — Paid time off is repeatedly characterized as generous and a valued component of the overall package. Time off and flexibility are presented as helping the total rewards feel more complete beyond base salary.
American Express Insights
What We Do
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.
