Data Science Engineer Visa Sponsorship Jobs in South Dakota
Data science engineer visa sponsorship jobs in South Dakota are concentrated in Sioux Falls and the broader financial services sector, with employers like Citibank, Wells Fargo, and Sanford Health among the larger organizations hiring for data-intensive roles. The state's smaller talent pool can work in your favor, with less local competition for specialized positions.
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Work Arrangement:
After the initial training period, this is a hybrid role, working onsite in our Sioux Falls, SD office.
Leads enterprise data and implementation efforts to integrate customer, client, and transaction data into core reports across all business lines. Maps and translates raw data into structured formats that enhance reporting and user tool functionality. Drives enterprise data architecture, including the design and expansion of the Snowflake data model, to support scalable and standardized processor integrations. Establishes technology-driven oversight processes and leads processor launches, migrations, and system integrations to ensure end-to-end data integrity, compliance, and audit readiness.
At The Bancorp, we’ve spent more than 25 years driving innovation in the financial services industry. As one of the first banks to embrace fintech, we combine technology, expertise and a forward-looking approach to deliver creative, real-world solutions. We work side by side with our partners to help them grow and innovate with confidence. Across Fintech Solutions, Institutional Banking, Commercial Lending and Real Estate Bridge Lending, we provide the people, processes, technology and banking capabilities that turn bold ideas into outcomes.
Join a team that brings urgency and rigor to every challenge and plays a direct role in driving growth for our clients and the communities we serve.
Key Responsibilities:
- Manages teams responsible for reviewing, mapping, and analyzing data provided to the Bank from third parties. Leads cross-functional implementation efforts across IT, Fraud, FCRM, Compliance, Audit, Operations, and processor partners to ensure successful data onboarding and system integration.
- Establishes raw data requirements necessary to operate the bank’s programs compliantly and efficiently. Interprets compliance regulations for systems and processes to ensure that fraud, risk, operational and compliance controls are in place, reports can be generated, and systems are in accordance with federal, state, and local rules and regulations for the products and industry. Translates regulatory, fraud, AML, and operational requirements into enterprise data model specifications and scalable monitoring infrastructure. Provides guidance to map and document data, i.e., new, and existing transaction codes, so system generated data can be categorized for use in research and reporting. Reviews, audits, and revises the functional specifications documents related to field mapping. Ensures that data is accurately mapped to processor fields, identify and correct errors as needed. Disseminate the information to the appropriate teams.
- Writes and tests procedures for new systems, systems elevations, and system changes. Drafts rules, queries, and related process changes driven by new or existing automation and applications. Communicates new procedures to affected internal parties. Owns enterprise data governance documentation and implementation standards for new processors, platforms, and system changes.
- Leads data and datasets used during system builds, enhancements, modifications, and mapping. Develops business requirements and works closely with stakeholders to justify project proposals. Owns data architecture strategy for new processor implementations and major platform migrations, including reconciliation validation, dual-processor transitions, and cutoff population documentation for audit defensibility. Tests system and process changes to ensure accurate and efficient data entry, maintenance, and reporting. Ensures workflow quality through structured testing and feedback. Implements process improvements and enhancements for service delivery.
- Reviews, audits, and revises functional specification documents related to the field mapping within the Actimize or other system(s). Ensures data is mapped to the processor fields, identify and correct errors. Leads integration of enterprise data model requirements into Actimize modernization initiatives (e.g., Actimize 2.0), ensuring monitoring scalability and reduction of processor-specific rework.
- Creates business unit documentation, including a program parameterization tool mapping processor program IDs to parameters used to identify spend violations and forecast program activity. Maintains authoritative program parameter and processor mapping frameworks supporting fraud detection, AML monitoring, compliance reporting, and operational forecasting. Analyzes and integrates multi-technology data systems through a unified back-end platform and web-enabled front-end while owning data quality across data flows. Designs and expands enterprise-scale data infrastructure (Snowflake and associated systems), enabling standardized ingestion patterns and accelerating future processor onboarding.
- Defines common analytics frameworks and tools leveraged across the organization to drive innovation and experimentation. Establishes enterprise data standards to reduce duplication, eliminate fragmented ETL processes, and improve reporting consistency across business lines.
- Transforms data insights into actionable reports, targeting algorithms, and model features and conceptualize coding, deploying, and iterating on predictive analytic solution designs from prototypes to production systems.
- Identifies practical approach to test and learns key hypotheses to extend analytic insight.
- Establishes criteria for and executes on the creation of alerts and reports for business units with emphasis on Compliance and Fraud/AML Monitoring teams. Ensures enterprise-level data integrity supporting audit, regulatory examinations, CIP/KYC integrations, and cross-processor reconciliations.
- Performs other duties as assigned.
- Occasional travel (5% percent).
Qualification Requirements:
Undergraduate degree in a related field or an equivalent combination of training and experience.
10 or more years of experience in enterprise data integration, processor implementations, financial services data architecture, or related fields.
Preferred Qualifications:
- Master’s degree.
- Strong working knowledge of credit or debit card issuing.
- Excellent verbal, written, and interpersonal communication skills.
- Team player, able to work effectively in a team fostered, multi-tasking environment.
- Proficient in Microsoft Office suite, e.g., Excel, PowerPoint, Word, Outlook, SAS, SQL, BOBJ.
- Experience leading enterprise data warehouse initiatives (e.g., Snowflake or comparable platforms).
- Experience supporting AML/fraud monitoring systems such as Actimize or similar platforms.
- Experience leading cross-functional processor implementations or large-scale platform migrations in a regulated financial environment.
This job will be open and accepting applications for a minimum of five days from the date it was posted.
Working at The Bancorp Bank, N.A. and Benefits Information:
The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.
Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.
LI-Hybrid
LI-PJ1
Overview:
Work Arrangement:
After the initial training period, this is a hybrid role, working onsite in our Sioux Falls, SD office.
Leads enterprise data and implementation efforts to integrate customer, client, and transaction data into core reports across all business lines. Maps and translates raw data into structured formats that enhance reporting and user tool functionality. Drives enterprise data architecture, including the design and expansion of the Snowflake data model, to support scalable and standardized processor integrations. Establishes technology-driven oversight processes and leads processor launches, migrations, and system integrations to ensure end-to-end data integrity, compliance, and audit readiness.
At The Bancorp, we’ve spent more than 25 years driving innovation in the financial services industry. As one of the first banks to embrace fintech, we combine technology, expertise and a forward-looking approach to deliver creative, real-world solutions. We work side by side with our partners to help them grow and innovate with confidence. Across Fintech Solutions, Institutional Banking, Commercial Lending and Real Estate Bridge Lending, we provide the people, processes, technology and banking capabilities that turn bold ideas into outcomes.
Join a team that brings urgency and rigor to every challenge and plays a direct role in driving growth for our clients and the communities we serve.
Key Responsibilities:
- Manages teams responsible for reviewing, mapping, and analyzing data provided to the Bank from third parties. Leads cross-functional implementation efforts across IT, Fraud, FCRM, Compliance, Audit, Operations, and processor partners to ensure successful data onboarding and system integration.
- Establishes raw data requirements necessary to operate the bank’s programs compliantly and efficiently. Interprets compliance regulations for systems and processes to ensure that fraud, risk, operational and compliance controls are in place, reports can be generated, and systems are in accordance with federal, state, and local rules and regulations for the products and industry. Translates regulatory, fraud, AML, and operational requirements into enterprise data model specifications and scalable monitoring infrastructure. Provides guidance to map and document data, i.e., new, and existing transaction codes, so system generated data can be categorized for use in research and reporting. Reviews, audits, and revises the functional specifications documents related to field mapping. Ensures that data is accurately mapped to processor fields, identify and correct errors as needed. Disseminate the information to the appropriate teams.
- Writes and tests procedures for new systems, systems elevations, and system changes. Drafts rules, queries, and related process changes driven by new or existing automation and applications. Communicates new procedures to affected internal parties. Owns enterprise data governance documentation and implementation standards for new processors, platforms, and system changes.
- Leads data and datasets used during system builds, enhancements, modifications, and mapping. Develops business requirements and works closely with stakeholders to justify project proposals. Owns data architecture strategy for new processor implementations and major platform migrations, including reconciliation validation, dual-processor transitions, and cutoff population documentation for audit defensibility. Tests system and process changes to ensure accurate and efficient data entry, maintenance, and reporting. Ensures workflow quality through structured testing and feedback. Implements process improvements and enhancements for service delivery.
- Reviews, audits, and revises functional specification documents related to the field mapping within the Actimize or other system(s). Ensures data is mapped to the processor fields, identify and correct errors. Leads integration of enterprise data model requirements into Actimize modernization initiatives (e.g., Actimize 2.0), ensuring monitoring scalability and reduction of processor-specific rework.
- Creates business unit documentation, including a program parameterization tool mapping processor program IDs to parameters used to identify spend violations and forecast program activity. Maintains authoritative program parameter and processor mapping frameworks supporting fraud detection, AML monitoring, compliance reporting, and operational forecasting. Analyzes and integrates multi-technology data systems through a unified back-end platform and web-enabled front-end while owning data quality across data flows. Designs and expands enterprise-scale data infrastructure (Snowflake and associated systems), enabling standardized ingestion patterns and accelerating future processor onboarding.
- Defines common analytics frameworks and tools leveraged across the organization to drive innovation and experimentation. Establishes enterprise data standards to reduce duplication, eliminate fragmented ETL processes, and improve reporting consistency across business lines.
- Transforms data insights into actionable reports, targeting algorithms, and model features and conceptualize coding, deploying, and iterating on predictive analytic solution designs from prototypes to production systems.
- Identifies practical approach to test and learns key hypotheses to extend analytic insight.
- Establishes criteria for and executes on the creation of alerts and reports for business units with emphasis on Compliance and Fraud/AML Monitoring teams. Ensures enterprise-level data integrity supporting audit, regulatory examinations, CIP/KYC integrations, and cross-processor reconciliations.
- Performs other duties as assigned.
- Occasional travel (5% percent).
Qualification Requirements:
Undergraduate degree in a related field or an equivalent combination of training and experience.
10 or more years of experience in enterprise data integration, processor implementations, financial services data architecture, or related fields.
Preferred Qualifications:
- Master’s degree.
- Strong working knowledge of credit or debit card issuing.
- Excellent verbal, written, and interpersonal communication skills.
- Team player, able to work effectively in a team fostered, multi-tasking environment.
- Proficient in Microsoft Office suite, e.g., Excel, PowerPoint, Word, Outlook, SAS, SQL, BOBJ.
- Experience leading enterprise data warehouse initiatives (e.g., Snowflake or comparable platforms).
- Experience supporting AML/fraud monitoring systems such as Actimize or similar platforms.
- Experience leading cross-functional processor implementations or large-scale platform migrations in a regulated financial environment.
This job will be open and accepting applications for a minimum of five days from the date it was posted.
Working at The Bancorp Bank, N.A. and Benefits Information:
The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.
Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.
LI-Hybrid
LI-PJ1
Data Science Engineer Job Roles in South Dakota
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Search Data Science Engineer Jobs in South DakotaData Science Engineer Jobs in South Dakota: Frequently Asked Questions
Which companies sponsor visas for data science engineers in South Dakota?
The most active visa sponsors for data science engineers in South Dakota tend to be large financial institutions and healthcare systems with operations in Sioux Falls, including Citibank, Wells Fargo, and Sanford Health. Technology arms of regional banks and insurance companies also file H-1B visa petitions for data engineering roles. Smaller startups and state agencies rarely sponsor visas due to the administrative cost and complexity involved.
Which visa types are most common for data science engineer roles in South Dakota?
The H-1B is the most common visa category for data science engineers in South Dakota, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field such as computer science, statistics, or engineering. Candidates with a master's degree are eligible for the advanced degree exemption in the H-1B lottery, which improves selection odds. The O-1A is an option for engineers with a documented record of exceptional achievement.
Which cities in South Dakota have the most data science engineer sponsorship jobs?
Sioux Falls is by far the primary market for data science engineer sponsorship jobs in South Dakota, driven by the city's concentration of financial services firms, regional insurance companies, and the Sanford Health system. Rapid City has a smaller but growing technology presence, particularly around defense contractors and government-adjacent work. Outside these two cities, sponsorship opportunities in South Dakota are limited.
How to find data science engineer visa sponsorship jobs in South Dakota?
Migrate Mate is the most direct way to find data science engineer visa sponsorship jobs in South Dakota, with listings filtered specifically for employers willing to sponsor work visas. Because South Dakota's market is smaller than coastal tech hubs, setting up alerts for Sioux Falls and Rapid City on Migrate Mate ensures you see new postings as they appear. Focusing on financial services and healthcare employers in those cities gives you the highest probability of finding active sponsorship roles.
What should data science engineers know about South Dakota's hiring market before applying for sponsored roles?
South Dakota has no state income tax, which affects how employers structure compensation packages and can make offers more competitive in real terms than they appear on paper. The state's data science engineer job market is heavily tied to financial services and healthcare, so candidates with domain experience in those industries have a meaningful advantage. South Dakota State University and the University of South Dakota produce local graduates, but demand for experienced data engineers consistently outpaces the regional supply, which supports the case for employer sponsorship.
What is the prevailing wage for sponsored data science engineer jobs in South Dakota?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.