Junior Data Engineer - Python/Azure | AML Analytics

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

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.