Data Engineer

Sumitomo Mitsui Banking Corporation • Charlotte, NC

24d • Hybrid

About The Position

The Quantexa Data Engineer supports financial crime analytics initiatives by designing, building, and delivering data-driven solutions within the Quantexa platform, primarily in the Anti-Money Laundering domain. This role combines data engineering and business analysis to translate complex banking data into scalable, high-quality analytical outputs that enable effective risk detection and decision-making. The position operates at an early-career professional level, contributing to project delivery under established technical and functional guidance, with measurable impact on data quality, analytical accuracy, and regulatory use cases. The role reports into a technical delivery or data engineering lead and works closely with business stakeholders, product owners, and agile delivery teams.

Requirements

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• Early-career experience, typically 0–2 years, in data engineering, software engineering, or analytics-focused development roles.
• Working knowledge of object-oriented programming languages such as Python or Java.
• Foundational understanding of relational data models, data transformations, and object-oriented design principles.
• Familiarity with agile development methodologies and standard development lifecycle practices, including version control, testing, and documentation.
• Experience using development and collaboration tools such as Git, JIRA, and Confluence.
• Ability to communicate effectively with both technical and non-technical stakeholders and operate within a structured delivery and reporting framework.

Nice To Haves

• Exposure to cloud-based data platforms and tooling, such as Azure and Databricks, preferred.

Responsibilities

• Collaborate with business stakeholders and product owners to clarify requirements, define acceptance criteria, and translate use cases into actionable user stories and business rules.
• Analyze source systems and enterprise datasets to define data mappings, transformation logic, and data quality rules aligned to Quantexa ingestion and modeling standards.
• Design, build, and maintain data pipelines and transformations that support analytics, reporting, and investigative workflows.
• Configure and support end-to-end Quantexa solutions, including data selection, entity resolution, network modeling, scoring logic, validation, tuning, and user interface components.
• Participate in agile ceremonies, including sprint planning and backlog refinement, to ensure functional and non-functional requirements are fully 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 overall solution performance and usability.
• Support testing activities, including unit testing and validation, to ensure solutions meet defined business and technical standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level