Quantexa Data Engineer
Company: SMBC Group
Location: Charlotte
Posted on: January 17, 2026
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Job Description:
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 Quantexa Data Engineer supporting
SMBC’s AML Market applications and data services. Purpose: design,
build, and maintain scalable data pipelines and shared libraries
that ensure data availability, quality, reliability, and regulatory
compliance for Anti-Money Laundering obligations. Scope and impact:
enterprise-scale AML data engineering on Azure (Data Factory Gen2,
Databricks), Elasticsearch, and MS SQL Server, enabling faster time
to market through reusable capabilities, improving platform health
and performance, and reducing compliance risk by strengthening data
integrity and security. Reporting structure: reports to AML Market
Technology leadership and partners closely with Technology,
Product, and Business stakeholders. PRINCIPAL DUTIES AND
RESPONSIBILITIES Design, develop, and optimize robust data
pipelines and ETL processes for AML data domains. Build reusable
libraries and shared capabilities to accelerate delivery across
Data Engineering teams. Evolve platform capabilities and maintain
overall platform health, performance, and reliability. Collaborate
with cross-functional stakeholders to translate data requirements
into solutions. Ensure data quality, integrity, and security across
all data systems and workflows. Monitor, troubleshoot, and
continuously improve data workflows, SLAs, and performance.
Automate validation, testing, and deployment processes to increase
delivery speed and consistency. Develop and integrate services
using Spark and Scala or Java or Python; implement RESTful APIs
with JSON; support Tomcat-hosted services and Elasticsearch
indexing/queries. Apply Agile practices; manage work using Jira and
documentation using Confluence. Operate within DevOps tooling and
pipelines (git, Azure DevOps, Jenkins). Stay current with emerging
data engineering technologies and trends; propose improvements.
Communicate proactively with business users, support teams,
vendors, and stakeholders to ensure high customer satisfaction.
POSITION SPECIFICATIONS Required Qualifications Bachelor’s or
Master’s degree in Computer Science, Engineering, or related field.
7 years in data engineering or closely related roles. Technical
Skills Highly proficient in Scala, Python, and SQL; hands-on with
Spark; experience with Apache Airflow. Azure cloud data platforms:
Azure Data Factory Gen2, Azure Databricks, Azure-hosted databases.
Elasticsearch experience; RESTful APIs with JSON; Tomcat
application services. Advanced SQL on relational databases,
preferably MS SQL Server and Azure-hosted databases. Strong ETL
tooling knowledge and data modeling skills. DevOps lifecycle
experience: git, Azure DevOps, Jenkins. Agile methodologies; Jira
and Confluence proficiency. Linux/Unix environment familiarity.
Professional Competencies Strong analytical and diagnostic skills
for troubleshooting complex systems. Ability to design scalable
data architectures and shared frameworks that improve time to
market. Clear, proactive communication with technical and
non-technical stakeholders. Focus on data quality, integrity,
security, and SLA adherence. Our positions are open to all,
regardless of their human characteristics or conditions regarding
ethnicity, gender, sexual orientation, accessibility, cultural,
social, or any other factor. As well, will always be open to people
with disabilities.
Keywords: SMBC Group, Winston-Salem , Quantexa Data Engineer, IT / Software / Systems , Charlotte, North Carolina
