Junior Data Engineer – AML Analytics on Quantexa (Hybrid)

Huxley; Charlotte (NC); Hybrid; USD 90,000 - 110,000; Full time

Job summary

Huxley is hiring an early-career Associate Data Engineer in Charlotte, NC, hybrid/onsite as determined by the client, to help deliver data solutions for financial crime analytics, focusing on AML. You will design, build, and deliver data-driven capabilities on the Quantexa platform.

You will collaborate with business stakeholders to turn use cases into clear requirements, build data pipelines, and ensure solutions meet defined standards across data mappings, quality rules, and validation

Qualifications

• Working knowledge of Python or Java and relational data models.
• Experience with Azure and Databricks.
• Location: Charlotte, NC; onsite/hybrid as determined by client.
• Early-career / junior-level data engineer.

Responsibilities

• Collaborate with stakeholders to clarify requirements, define acceptance criteria, and convert use cases into user stories and business rules.
• Analyze source systems to define data mappings, transformation logic, and data quality rules aligned with Quantexa standards.
• Design, build, and maintain data pipelines and transformations supporting analytics, reporting, and investigative workflows.
• Configure and support end-to-end Quantexa solutions, including entity resolution, network modeling, risk scoring, validation, and UI components.
• Participate in agile ceremonies such as sprint planning and backlog refinement to ensure team alignment.
• Document data logic, mappings, and solution design to support transparency and auditability.
• Identify data inconsistencies or reliability risks and recommend performance improvements.
• Contribute to unit testing and validation to meet business and technical standards.

Skills

Python

Java

Relational data models

Tools

Azure

Databricks

Git

JIRA

Confluence

Job description

Huxley is hiring an early-career Associate Data Engineer in Charlotte, NC, hybrid/onsite as determined by the client, to help deliver data solutions for financial crime analytics, focusing on AML. You will design, build, and deliver data-driven capabilities on the Quantexa platform.

You will collaborate with business stakeholders to turn use cases into clear requirements, build data pipelines, and ensure solutions meet defined standards across data mappings, quality rules, and validation