Data Engineer II

As part of the Enterprise Marketing Technology team, you will design, develop and optimize scalable, reliable and high-quality data solutions that power customer targeting, eligibility, personalization, campaign execution and marketing analytics across American Express.

The ideal candidate will bring strong analytical and problem-solving skills, hands-on cloud data engineering expertise, and practical experience leveraging Generative AI tools to improve engineering productivity, automation and solution quality .

You will work in an agile, collaborative environment that values engineering excellence, innovation, continuous learning and responsible AI adoption.

Minimum Qualifications

- Bachelor's or master's degree in computer science, Engineering or a related technical discipline, or equivalent work experience.
- 5+ years of hands-on experience in software development or data engineering, preferably with large-scale Big Data and cloud-based solutions.
- Strong hands-on expertise in SQL, Python, GCP Big Query and Apache Airflow , including developing and optimizing complex data pipelines.
- Experience with Spark, Scala, Hadoop/Hive or equivalent distributed data-processing technologies.
- Strong data analysis and problem-solving skills , including data profiling, complex SQL, source-to-target validation, data reconciliation and root cause analysis.
- Experience in ETL/ELT, data modeling, data transformation, workflow orchestration and performance optimization .
- Practical hands-on experience with Generative AI tools such as GitHub Copilot, ChatGPT Enterprise or equivalent AI coding assistants for development, debugging, testing or automation.
- Working knowledge of LLMs, prompt engineering and responsible AI practices , particularly secure handling of enterprise and sensitive data.
- Experience with Git/GitHub, CI/CD pipelines, automated testing and software development best practices .
- Understanding of data-quality controls, data governance, privacy and production support.
- Strong communication skills, ability to collaborate across teams and independently resolve complex technical problems.

Preferred Qualifications

- Experience with GCP Bigtable, Pub/Sub, Dataflow, Kafka or real-time data-processing frameworks .
- Exposure to Adobe Experience Platform, Adobe Journey Optimizer or Customer Journey Analytics .
- Experience building or contributing to AI-enabled data engineering solutions , such as automated RCA, data-quality monitoring, intelligent data discovery, lineage or test-data generation.
- Familiarity with LLM APIs, Retrieval-Augmented Generation (RAG), agentic AI frameworks or AI workflow automation .
- Experience developing enterprise data products supporting Marketing, Banking, Lending or customer engagement .
- GCP Professional Data Engineer or equivalent cloud certification.