Data Engineer

Job Level: Analyst

Job Function: IT and Digital Development

Location:

Charlotte, NC, US, 28202

Employment Type: Full Time

Requisition ID: 7343

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG’s shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.

In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization’s extensive global network. The Group’s operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.

JOB SUMMARY

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.

PRINCIPAL DUTIES AND 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.

POSITION SPECIFICATIONS

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

SMBC’s employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.

SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com.