Associate Data Engineer (Python / Azure) - Charlotte, NC

Huxley; Charlotte (NC); Hybrid; USD 70,000 - 100,000; Full time

Job summary

Huxley in Charlotte, NC is seeking an early-career Data Engineer to support financial crime analytics on the Quantexa platform. You will design, build, and maintain data pipelines, collaborate with stakeholders, and contribute to AML risk scoring and reporting.

You should have a working knowledge of Python or Java, SQL databases, and cloud platforms such as Azure and Databricks. This is a full-time, hybrid role with opportunities to grow in a fast-paced delivery environment.

Qualifications

• Early-career data engineer with interest in AML and financial crime analytics.
• Working knowledge of Python or Java and SQL databases.
• Experience with cloud platforms such as Azure or Databricks.

Responsibilities

• Collaborate with business stakeholders and product owners to clarify requirements and translate use cases into user stories.
• Design, build, and maintain data pipelines and transformations for analytics and reporting.
• Configure and support Quantexa solutions including entity resolution and network analytics.
• Participate in Agile ceremonies and ensure clear acceptance criteria and traceability.
• Document data logic, mappings, and solution design for auditability.

Skills

Data analysis

Data mapping

Pipeline development

Data quality

Documentation

Testing support

Stakeholder collaboration

Tools

JIRA

Confluence

Git

Job description

Associate Data Engineer (Python / Azure) - Charlotte, NC

Our client is seeking an early-career Data Engineer to join our client's team in Charlotte, NC, supporting cutting-edge financial crime analytics, primarily within the Anti-Money Laundering domain. In this role, you will help design, build, and deliver data-driven solutions on the Quantexa platform, working closely with business stakeholders, product owners, and agile delivery teams to turn complex banking data into meaningful insights for better risk detection and decisions.

Key Skills and What You'll Do

• Stakeholder Collaboration - Work with business stakeholders and product owners to clarify requirements, define acceptance criteria, and translate use cases into clear user stories and business rules.
• Data Analysis & Mapping - Analyze source systems and enterprise datasets to define data mappings, transformation logic, and data quality rules aligned with Quantexa standards.
• Pipeline Development - Design, build, and maintain data pipelines and transformations to support analytics, reporting, and investigative workflows.
• Quantexa Configuration - Configure and support end-to-end Quantexa solutions, including entity resolution, network modeling, scoring logic, validation, and UI components.
• Agile Delivery - Participate in agile ceremonies such as sprint planning and backlog refinement, ensuring requirements are clearly understood by the delivery team.
• Documentation - Document data logic, mappings, and solution design to maintain transparency, auditability, and effective knowledge transfer.
• Data Quality Improvement - Identify data inconsistencies, inefficiencies, or reliability risks and recommend improvements to enhance solution performance.
• Testing Support - Contribute to unit testing and validation to ensure solutions meet defined business and technical standards.
• Technical Foundation - Apply working knowledge of Python or Java, relational data models, cloud platforms such as Azure and Databricks, and tools including Git, JIRA, and Confluence.

Position Specifications

• Location: Charlotte, North Carolina (onsite/hybrid as determined by client)
• Domain Focus: Financial Crime Analytics, primarily Anti-Money Laundering (AML)
• Platform: Quantexa (entity resolution, network analytics, risk scoring)
• Employment Type: Full-time
• Experience Level: Early-career / junior-level data engineer
• Core Technologies: Python or Java, relational databases, Azure, Databricks, Git
• Methodology: Agile (sprint planning, backlog refinement, iterative delivery)
• Tools: JIRA, Confluence, Git-based version control
• Key Competencies: Data analysis, data mapping, pipeline development, data quality, documentation, testing support, stakeholder collaboration

Interested?

If you're at the start of your data engineering career and keen to grow in a high-impact financial crime environment, we'd be delighted to discuss this opportunity with you.

EOE Statement: Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change.