Associate Data Engineer (Python / Azure)

This early-career Associate Data Engineer role in Charlotte, NC supports financial crime analytics within the Anti-Money Laundering (AML) domain. You will design, build, and deliver data-driven solutions using the Quantexa platform in an agile delivery environment.

Responsibilities

• Partner with business stakeholders and product owners to clarify requirements, define acceptance criteria, and convert use cases into user stories and business rules.
• Review source systems and enterprise datasets to establish data mappings, transformation logic, and data quality rules that align 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, including sprint planning and backlog refinement, to ensure the delivery team clearly understands requirements.
• Document data logic, mappings, and solution design to support transparency, auditability, and effective knowledge transfer.
• Detect data inconsistencies, inefficiencies, or reliability risks and propose improvements to enhance solution performance.
• Contribute to unit testing and validation to confirm solutions meet defined business and technical standards.

Requirements

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

Core Skills and What You Will Apply

• Stakeholder collaboration: Translate business needs into acceptance criteria, user stories, and business rules.
• Data analysis and mapping: Define mappings and transformation logic, along with data quality rules aligned to Quantexa.
• Pipeline development: Build and maintain pipelines supporting analytics, reporting, and investigation workflows.
• Quantexa configuration: Support entity resolution, network modeling, scoring logic, validation, and UI components.
• Documentation: Maintain clear records of data logic, mappings, and solution design.
• Data quality improvement: Identify issues impacting performance and recommend changes.
• Testing support: Help validate solutions through unit testing and checks against business and technical standards.

Technologies

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

Role Details

• Location: Charlotte, NC (hybrid/onsite as determined by client)
• Salary: USD 100,000 per year
• Domain: Financial Crime Analytics (AML)
• Platform: Quantexa (entity resolution, network analytics, risk scoring)
• Engagement: Full-time
• Delivery approach: Agile (sprint planning, backlog refinement, iterative delivery)