Data Engineer III

Marketing Optimization Capabilities & Analytics (MOCA) is an enterprise Marketing Mix Modeling (MMM) platform that enables American Express to measure and optimize the impact of marketing investments. MOCA separates short-term advertising-driven contributions from long-term business trends, external factors, and seasonal influences to provide actionable insights for marketing decision-making.

The platform models marketing drivers (inputs) and acquisition outcomes at the product, response channel, and DMA level on a weekly basis, helping leadership understand the effectiveness and ROI of enterprise marketing spend.

Role Summary

We are seeking a highly motivated Senior Data Engineer to join the MOCA team. This role will be responsible for designing, building, and maintaining scalable data pipelines and analytical data products that power enterprise-level Marketing Mix Modeling and marketing analytics capabilities.

The ideal candidate will have strong expertise in big data engineering, cloud technologies, data modeling, and large-scale ETL development. The role requires close collaboration with data scientists, product managers, marketing analytics teams, and business stakeholders to deliver reliable and scalable data solutions.

Responsibilities

Key Responsibilities

• Design, develop, and maintain scalable data pipelines supporting MOCA and MMM workloads.
• Build and optimize batch and near-real-time data ingestion processes from multiple enterprise data sources.
• Develop and maintain data models supporting marketing analytics, attribution, experimentation, and reporting use cases.
• Partner with Data Science teams to operationalize Marketing Mix Models and analytical outputs.
• Design and implement data quality, monitoring, lineage, and governance frameworks.
• Build reusable data services, APIs, and datasets to support enterprise analytics and reporting.
• Optimize data processing performance, scalability, and reliability across large datasets.
• Collaborate with Product, Marketing, and Analytics teams to translate business requirements into technical solutions.
• Support cloud migration and modernization initiatives across the analytics ecosystem.
• Mentor junior engineers and promote engineering best practices.

Qualifications

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
• 5+ years of experience in Data Engineering or related disciplines.
• Strong SQL skills and experience working with large-scale analytical datasets.
• Expertise in Python, Spark, Scala, or Java.
• Experience building enterprise-grade ETL/ELT pipelines.
• Strong understanding of dimensional modeling, data warehousing, and data architecture principles.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Experience with orchestration tools such as Airflow, Control-M, or similar platforms.
• Strong understanding of data quality, observability, and governance practices.
• Excellent communication and stakeholder management skills.
   

Preferred Qualifications

• Experience supporting Marketing Analytics, Customer Analytics, or Marketing Mix Modeling platforms.
• Experience working with large-scale customer acquisition and marketing datasets.
• Familiarity with machine learning operationalization and model deployment workflows.
• Experience with enterprise experimentation and measurement platforms.
• Experience with modern data lake and data mesh architectures.
  • Experience leading technical initiatives and mentoring engineering teams.