Senior Data Engineer & Tech Lead - AI-Driven Fraud Platform

American Express; Jefferson City (MO); Remote; USD 27,552 - 41,328; Full time

Job summary

American Express in Jefferson City, MO is seeking a Senior Data Engineer to design and implement scalable data pipelines, build Kotlin microservices, and apply AI solutions to combat fraud. The role collaborates with analytics and data-platform teams to deliver robust data engineering solutions.

The ideal candidate has a Bachelor's or Master’s in a related field and up to 8 years of software development experience, including hands-on work with Python, Spark, Hive, and related big‑data tools.

Qualifications

• Bachelor’s or master’s degree in computer technology, engineering, or a related field.
• Up to 8 years of software development experience, including at least 1 year with large‑data technologies such as Python, Spark, PySpark, Hive, and shell scripting.
• Hands‑on experience with data ingestion, transformation, and ETL using a data platform (e.g., AXP).

Responsibilities

• Build microservices in Kotlin and apply AI solutions to prevent fraud.
• Develop APIs, contribute to open‑source, and adopt modern technologies.
• Collaborate with analytics, insights, and data‑platform teams to design, implement, and maintain data engineering solutions.
• Architect and document software components, troubleshoot and debug issues.
• Lead a small team; enforce coding standards, conduct code reviews, and manage CI/CD.
• Automate deployments to development, integration, and production environments.
• Scale packages based on projected demand, ensuring performance and reliability.
• Provide monitoring and support for production software.

Skills

Kotlin programming

Data engineering

AI integration

Education

Bachelor’s or Master’s degree in computer technology or related field

Tools

Python

Spark

PySpark

Hive

Shell scripting

NoSQL databases (HBase, Cassandra, Redis, Memcached)

CI/CD (GitHub, Jenkins, XLR)

GraphQL

Docker

Kubernetes

Job description

American Express in Jefferson City, MO is seeking a Senior Data Engineer to design and implement scalable data pipelines, build Kotlin microservices, and apply AI solutions to combat fraud. The role collaborates with analytics and data-platform teams to deliver robust data engineering solutions.

The ideal candidate has a Bachelor's or Master’s in a related field and up to 8 years of software development experience, including hands-on work with Python, Spark, Hive, and related big‑data tools.