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

American Express
New York, Chicago
Full timeUSD 123,000 - 215,250 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Stakeholder management","Cross-functional collaboration","Mentoring"]

Lead the design and delivery of scalable data pipelines and data architecture for dining analytics and downstream applications. Build reliable batch and incremental ETL/ELT workflows, ingest Rooam POS data from AWS S3 into Snowflake, and develop optimized Snowflake data models across staging to business-ready layers. Use Python, SQL, and AWS to deliver performant, reliable solutions with strong data quality validation, monitoring, governance, and CI/CD practices while partnering across product, analytics, and engineering teams.

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FursaFursa
American Express
American Express
2 days ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Lead the design and delivery of scalable data pipelines and data architecture for dining analytics and downstream applications. Build reliable batch and incremental ETL/ELT workflows, ingest Rooam POS data from AWS S3 into Snowflake, and develop optimized Snowflake data models across staging to business-ready layers. Use Python, SQL, and AWS to deliver performant, reliable solutions with strong data quality validation, monitoring, governance, and CI/CD practices while partnering across product, analytics, and engineering teams.
Location: New York, Chicago
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead the design, development, and implementation of scalable data pipelines and data architecture for 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 across staging, curated, and business-ready layers to support reporting 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; support governance with metadata, documentation, lineage, and secure access to data assets.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability Insurance401kParental LeaveLearning BudgetCounseling SupportWellness Stipend

Key Requirements

  • •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.
  • •Hands-on expertise in Snowflake, SQL (including advanced query optimization), and Python.
  • •ETL/ELT pipeline development and orchestration experience, including scalable cloud-based data integration solutions.
  • •Experience implementing data quality frameworks, reconciliation processes, schema evolution handling, and production monitoring.
Experience:8+ yearsData engineeringSoftware engineeringEnterprise data platforms
Education:Bachelor's in Computer Science, Engineering, Information Systems, or related field
Skills:Problem-solvingCommunicationStakeholder managementCross-functional collaborationMentoring
Tech Stack:SnowflakeSQLPythonAWSAWS S3ETLELTCI/CDGitInfrastructure as CodeRooam POSData warehousingDimensional modelingData lakehouse

Eligibility

Work Authorization:Sponsorship available.

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn