Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer - Amex Ads, Offers, and Dining Technology
New York, NY, United States
Actively hiring, first seen by us 11 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- Sponsors visas
What you’ll work on
Full postingDesign and maintain batch and incremental ETL/ELT workflows for Rooam POS data
Design and optimize Snowflake data models across staging, curated, and business-ready layers
Build data quality validation, reconciliation, and monitoring for Rooam POS data
Tune Snowflake SQL queries and manage storage and compute resources
Lead technical design discussions and mentor engineers
From the employer’s posting
Build and maintain reliable batch and incremental ETL/ELT workflows, including ingesting Rooam POS data from AWS S3 into Snowflake
Design and optimize Snowflake data models, including staging, curated, and business-ready data layers
Implement data quality validation, reconciliation, monitoring, and alerting to ensure the accuracy, completeness, and timeliness of Rooam POS data
Drive performance optimization across Snowflake by tuning SQL queries, optimizing storage strategies, and managing compute resources efficiently
Lead technical design discussions, mentor engineers, and promote engineering best practices
Posting record
Report an errorActively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 202611 days ago
- Recorded sightings
- 47
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 11
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
American Express is hiring
32 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 9% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- S3
- Snowflake
Where the posting names them
As part of Team Amex, you’ll experience a culture built on innovation, shared values, and an unwavering commitment to back our customers and colleagues. You’ll have the support, flexibility, and autonomy to make an impact while helping shape the future of how people discover, book, and enjoy dining experiences worldwide. • Lead the design, development, and implementation of scalable data pipelines and data architecture to support dining analytics, reporting, and downstream business applications. • Build and maintain reliable batch and incremental ETL/ELT workflows, including ingesting Rooam POS data from AWS S3 into Snowflake and transforming it into analytics-ready datasets. • Design and optimize Snowflake data models, including staging, curated, and business-ready data layers to support reporting, analytics, and operational use cases. • Develop scalable data processing solutions using Python, SQL, and AWS cloud services while ensuring performance, reliability, and maintainability. • Implement data quality validation, reconciliation, monitoring, and alerting to ensure the accuracy, completeness, and timeliness of Rooam POS data. • Partner with Product, Business, Analytics, Architecture, and Engineering teams to define data requirements and deliver scalable data solutions. • Drive performance optimization across Snowflake by tuning SQL queries, optimizing storage strategies, and managing compute resources efficiently. • Lead technical design discussions, mentor engineers, and promote engineering best practices across data engineering initiatives. • Strengthen platform reliability through automation, CI/CD, observability, documentation, and operational excellence. • Support enterprise data governance by maintaining metadata, documentation, lineage, and secure access to data assets. • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field. • 8+ years of experience in Data Engineering, Software Engineering, or Enterprise Data Platforms. • Strong hands-on expertise in: o Snowflake o SQL and advanced query optimization o Python • ETL/ELT pipeline development and orchestration • Experience designing and implementing scalable data pipelines and cloud-based data integration solutions. • Strong understanding of data warehousing concepts, dimensional modeling, and modern data lake/lakehouse architectures. • Experience implementing data quality frameworks, reconciliation processes, schema evolution handling, and production monitoring. • Familiarity with CI/CD pipelines, Git, Infrastructure as Code, and automated deployment practices. • Excellent problem-solving, communication, stakeholder management, and cross-functional collaboration skills. • Proven ability to lead end-to-end delivery of enterprise-scale data engineering initiatives across multiple teams.
• Lead the design, development, and implementation of scalable data pipelines and data architecture to support dining analytics, reporting, and downstream business applications. • Build and maintain reliable batch and incremental ETL/ELT workflows, including ingesting Rooam POS data from AWS S3 into Snowflake and transforming it into analytics-ready datasets. • Design and optimize Snowflake data models, including staging, curated, and business-ready data layers to support reporting, analytics, and operational use cases. • Develop scalable data processing solutions using Python, SQL, and AWS cloud services while ensuring performance, reliability, and maintainability. • Implement data quality validation, reconciliation, monitoring, and alerting to ensure the accuracy, completeness, and timeliness of Rooam POS data. • Partner with Product, Business, Analytics, Architecture, and Engineering teams to define data requirements and deliver scalable data solutions. • Drive performance optimization across Snowflake by tuning SQL queries, optimizing storage strategies, and managing compute resources efficiently. • Lead technical design discussions, mentor engineers, and promote engineering best practices across data engineering initiatives. • Strengthen platform reliability through automation, CI/CD, observability, documentation, and operational excellence. • Support enterprise data governance by maintaining metadata, documentation, lineage, and secure access to data assets. • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field. • 8+ years of experience in Data Engineering, Software Engineering, or Enterprise Data Platforms. • Strong hands-on expertise in: o Snowflake o SQL and advanced query optimization o Python • ETL/ELT pipeline development and orchestration • Experience designing and implementing scalable data pipelines and cloud-based data integration solutions. • Strong understanding of data warehousing concepts, dimensional modeling, and modern data lake/lakehouse architectures. • Experience implementing data quality frameworks, reconciliation processes, schema evolution handling, and production monitoring. • Familiarity with CI/CD pipelines, Git, Infrastructure as Code, and automated deployment practices. • Excellent problem-solving, communication, stakeholder management, and cross-functional collaboration skills. • Proven ability to lead end-to-end delivery of enterprise-scale data engineering initiatives across multiple teams. Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
The U.S. Consumer and Digital Technology (USCDT) Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance. It employs a ground-breaking focus with development responsibilities for customer-facing capabilities that deepen and expand digital engagement, as well as core technical capabilities that cut across business lines and customer segments.
American Express Ads, Offers, and Dining Technology brings together our advertising, offers, and dining platforms to elevate the Membership experience. The team drives the expansion of Amex Offers, the development of innovative digital advertising capabilities, and leads the end-to-end technology integration and platform development of our dining services to create seamless connections between diners, restaurants, and the broader American Express Membership ecosystem.
As part of Team Amex, you’ll experience a culture built on innovation, shared values, and an unwavering commitment to back our customers and colleagues. You’ll have the support, flexibility, and autonomy to make an impact while helping shape the future of how people discover, book, and enjoy dining experiences worldwide.
• Lead the design, development, and implementation of scalable data pipelines and data architecture to support dining analytics, reporting, and downstream business applications.
• Build and maintain reliable batch and incremental ETL/ELT workflows, including ingesting Rooam POS data from AWS S3 into Snowflake and transforming it into analytics-ready datasets.
• Design and optimize Snowflake data models, including staging, curated, and business-ready data layers to support reporting, analytics, and operational use cases.
• Develop scalable data processing solutions using Python, SQL, and AWS cloud services while ensuring performance, reliability, and maintainability.
• Implement data quality validation, reconciliation, monitoring, and alerting to ensure the accuracy, completeness, and timeliness of Rooam POS data.
• Partner with Product, Business, Analytics, Architecture, and Engineering teams to define data requirements and deliver scalable data solutions.
• Drive performance optimization across Snowflake by tuning SQL queries, optimizing storage strategies, and managing compute resources efficiently.
• Lead technical design discussions, mentor engineers, and promote engineering best practices across data engineering initiatives.
• Strengthen platform reliability through automation, CI/CD, observability, documentation, and operational excellence.
• Support enterprise data governance by maintaining metadata, documentation, lineage, and secure access to data assets.
• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
• 8+ years of experience in Data Engineering, Software Engineering, or Enterprise Data Platforms.
• Strong hands-on expertise in:
o Snowflake
o SQL and advanced query optimization
o Python
• ETL/ELT pipeline development and orchestration
• Experience designing and implementing scalable data pipelines and cloud-based data integration solutions.
• Strong understanding of data warehousing concepts, dimensional modeling, and modern data lake/lakehouse architectures.
• Experience implementing data quality frameworks, reconciliation processes, schema evolution handling, and production monitoring.
• Familiarity with CI/CD pipelines, Git, Infrastructure as Code, and automated deployment practices.
• Excellent problem-solving, communication, stakeholder management, and cross-functional collaboration skills.
• Proven ability to lead end-to-end delivery of enterprise-scale data engineering initiatives across multiple teams.
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York, NY, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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