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# Senior Data Engineer I - Amex Ads, Offers, and Dining Technology

- **Company:** American Express Company
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Data Analysis, Cloud Database, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Warehousing, Dimensional Modeling, Python (Programming Language), Metadata, Software Engineering, SQL Databases, Enterprise Data Management, Data Processing, Snowflake, Git, Infrastructure Automation Frameworks, Deployment Automation, Data Management, Data Pipelines
- **Published:** August 7, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-data-engineer-i-amex-ads-offers-and-dining-technology-chicago-il-usa-58834171

## About the Role

SQL, and AWS services * Implement data quality, reconciliation, monitoring, and alerting for Rooam POS data * Collaborate with Product, Business, Analytics, Architecture, and Engineering teams to define data requirements * Tune SQL queries, optimize storage and compute in Snowflake, and drive performance * Lead technical design discussions, mentor engineers, and promote data engineering best practices * Strengthen platform reliability via automation, CI/CD, observability, and documentation * Support data governance through metadata, lineage, and secure data access Tasks * 8+ years of experience in Data Engineering, Software Engineering, or Enterprise Data Platforms * Strong hands-on expertise in Snowflake, SQL with advanced optimization, and Python * ETL/ELT pipeline development and orchestration * Experience designing scalable data pipelines and cloud-based data integration * Knowledge of data warehousing concepts, dimensional modeling, and lakehouse architectures * Experience with aaU
_ quality frameworks, reconciliation, schema evolution, and production monitoring * Familiarity with CI/CD, Git, Infrastructure as Code, and automated deployment * Excellent problem-solving, communication, stakeholder management, and cross-functional collaboration * Proven ability to lead end-to-end delivery of enterprise-scale data engineering initiatives across teams * Visa sponsorship may be provided depending on circumstances Key requirements * bonus * benefits * comprehensive well-being support

## Description

Experteer Overview In this role you will design and scale data pipelines and architectures to power dining analytics and downstream applications. You'll work with cross-functional teams to deliver analytics-ready data and reliable data platforms. The position focuses on making Rooam POS data actionable through Snowflake-backed data models and robust quality controls. You'll influence engineering practices, automate operations, and contribute to governance for enterprise data assets. This is a chance to shape data-driven dining experiences at scale with Amex's innovative technology culture. Compensation / Benefits * Lead design and implementation of scalable data pipelines and data architectures for dining analytics and reporting * Ingest Rooam POS data from AWS S3 into Snowflake and transform into analytics-ready datasets * Design and optimize Snowflake data models (staging, curated, business-ready) for reporting and operations * Develop scalable data processing solutions using Python, SQL, and AWS services * Implement data quality, reconciliation, monitoring, and alerting for Rooam POS data * Collaborate with Product, Business, Analytics, Architecture, and Engineering teams to define data requirements * Tune SQL queries, optimize storage and compute in Snowflake, and drive performance * Lead technical design discussions, mentor engineers, and promote data engineering best practices * Strengthen platform reliability via automation, CI/CD, observability, and documentation * Support data governance through metadata, lineage, and secure data access Tasks * 8+ years of experience in Data Engineering, Software Engineering, or Enterprise Data Platforms * Strong hands-on expertise in Snowflake, SQL with advanced optimization, and Python * ETL/ELT pipeline development and orchestration * Experience designing scalable data pipelines and cloud-based data integration * Knowledge of data warehousing concepts, dimensional modeling, and lakehouse architectures * Experience with data quality frameworks, reconciliation, schema evolution, and production monitoring * Familiarity with CI/CD, Git, Infrastructure as Code, and automated deployment * Excellent problem-solving, communication, stakeholder management, and cross-functional collaboration * Proven ability to lead end-to-end delivery of enterprise-scale data engineering initiatives across teams * Visa sponsorship may be provided depending on circumstances Key requirements * bonus * benefits * comprehensive well-being support


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