Associate Data Engineer (Python / Azure)

The Associate Data Engineer (Python / Azure) role in Charlotte, NC supports financial crime analytics within the Anti-Money Laundering (AML) domain. The position designs, builds, and delivers data-driven solutions on the Quantexa platform in an agile delivery environment.

Responsibilities

• Collaborate with business stakeholders and product owners to clarify requirements, define acceptance criteria, and translate use cases into user stories and business rules.
• Analyze source systems and enterprise datasets to define data mappings, transformation logic, and data quality rules aligned with Quantexa standards.
• Design, build, and maintain data pipelines and transformations that enable analytics, reporting, and investigative workflows.
• Configure and support end-to-end Quantexa solutions, including entity resolution, network modeling, scoring logic, validation, and UI components.
• Participate in agile ceremonies such as sprint planning and backlog refinement to ensure requirements are clearly understood by the delivery team.
• Document data logic, mappings, and solution design to support transparency, auditability, and knowledge transfer.
• Identify data inconsistencies, inefficiencies, or reliability risks and recommend improvements to enhance solution performance.
• Contribute to unit testing and validation to help ensure solutions meet defined business and technical standards.

Requirements

• Working knowledge of Python or Java, relational data models, and cloud platforms including Azure and Databricks.
• Experience working with tools including Git, JIRA, and Confluence.
• Location in Charlotte, North Carolina with onsite or hybrid arrangement determined by the client.
• Early-career or junior-level data engineer background.
• Domain focus in Financial Crime Analytics, primarily Anti-Money Laundering (AML).
• Platform alignment with Quantexa capabilities such as entity resolution, network analytics, and risk scoring.
• Full-time employment type and Agile methodology (sprint planning and backlog refinement, iterative delivery).

Technologies

• Python, Java
• Azure, Databricks
• Git
• JIRA, Confluence

Position Details

• Location: Charlotte, NC (hybrid; onsite as determined by the client)
• Employment type: Full-time
• Salary: USD 100,000 per year
• Core focus: Financial Crime Analytics (AML)
• Platform: Quantexa (entity resolution, network analytics, risk scoring)