Senior Data Science Engineer Visa Sponsorship Jobs in Missouri
Senior data science engineer visa sponsorship jobs in Missouri are concentrated in St. Louis and Kansas City, where employers like MasterCard, Express Scripts, and Cerner have established data and analytics teams. The state's growing fintech sector, healthcare IT industry, and university research pipelines at Washington University and the University of Missouri support steady demand for this role.
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Company
Federal Reserve Bank of Atlanta
Federal Reserve Financial Services (FRFS) delivers a suite of payments services to financial institutions via FedLine® Solutions, Fedwire® Funds and Securities, the National Settlement Service (NSS), FedCash®1, FedACH®, Check Services, and the FedNow® Service. FRFS operates as a fully integrated organization with groups dedicated to customer experience, operations, technology, product and customer/industry management, enterprise services, payments system improvement, and one focused on the ongoing growth and development of the FedNow instant payment service. Our strategy defines our future direction, seeking to offer a fully integrated product suite that provides speed, resilience, and choice in meeting the payments needs of FRFS customers across the United States. Through our Enterprise structure, we strive to meet the needs of the marketplace for new products and services with speed and agility, seek to provide a robust and unified customer experience, and work to create career growth opportunities for FRFS staff.
The FRFS Enterprise operates with a customer-first mindset, comprised of team members seeking to do the best work of their careers in pursuit of our important central bank mission.
The following Reserve Bank locations are preferred due to the concentration of FRFS team members in these locations: Chicago, Kansas City, Minneapolis, Atlanta
The selected candidate will reside within a reasonable commuting distance defined by the employing Reserve Bank and will work full-time onsite.
Job Description:
You will help administer and support Oracle databases with other DBAs within the operations organization. Collaborating with initiative and project owners to provide expert advice and support to enhance business outcomes. You will be part of the FRFS Technical Operations team that is tasked with overseeing the day-to-day operability of our nation’s payment systems.
Responsibilities:
- Perform research activities with a focus on complex data warehousing systems, automated ETL/ELT processes, data architecture, enterprise information systems, and project enhancements with Bank and System-wide impact.
- Optimize data warehouse performance through partitioning strategies, indexing, materialized views, and query tuning.
- Identify and analyze operational impacts of new projects, services, data warehouse infrastructure, enterprise information systems, and automated systems. Address moderately complex data-related customer issues.
- Support the organization with proposals for data warehouse architecture changes and enhancements. Provide input to the development and implementation of data standards, procedures, and safeguards.
- Work with management and staff across customer and service provider areas to define business and technical requirements for enterprise data warehousing and analytics systems. Communicate complex technical topics to non-technical audiences.
- Collaborate and communicate with team members to perform work, resolve issues, update statuses, and analyze and report on alternative data warehouse design solutions.
- Provide technical expertise in database and data warehouse solutions including DBMS tools and utilities usage, database administration, backup and recovery, database performance tuning and monitoring.
- Ability to influence development organizations to comply with data warehousing best practices, naming conventions, and design standards.
- Lead the support and enhancements of Oracle databases and data warehouse platforms in a highly available architecture.
- Assist with database and data warehouse platform contingency events.
- Travel required up to 15% of the time.
- Participate in database support on-call rotation.
- Perform other responsibilities as assigned.
Qualifications:
Required:
- Experience: Minimum 8 years supporting, designing, and engineering highly complex RAC-enabled Oracle data warehouse and data technology solutions across multiple diverse platforms requiring high performing, high volume transaction processing and analytical workloads. Experience with RAC one-node.
- Oracle Data Warehousing: Proven experience designing and implementing Oracle data warehouses including dimensional modeling, ETL/ELT processes, data integration, and performance optimization.
- Data Modeling: Familiarity with dimensional modeling techniques (star schema, snowflake schema), slowly changing dimensions, and data warehouse design patterns.
- Oracle RDBMS and PL/SQL: Strong understanding of PL/SQL; ability to read/review code and offer suggestions to improve developer Packages, Functions, and Procedures.
- Unix, Linux, and/or AIX experience required.
- Performance Tuning: Expertise in query optimization, partitioning strategies, indexing, and materialized views for data warehouse environments.
Strongly Preferred:
- Oracle Analytics Server (OAS) and/or Oracle Business Intelligence Enterprise Edition (OBIEE) experience with data warehouse integration.
- Experience with Operational Data Store (ODS) design and implementation.
- Experience working with Oracle Exadata.
- Java, Python, or other programming languages knowledge/experience for data processing and automation.
- Experience using ServiceNow and Jira for project and incident management.
- Experience working in Agile/DevOps teams for iterative data warehouse development.
- Ability to independently provide summary and recommendations on operational and analytical data.
- Knowledge and understanding of organizing or structuring complex data across varied data sources in a data warehouse context.
- Knowledge and understanding of data requirements management, modeling, and analysis.
- Strong understanding of data lifecycle management and archival strategies.
- Experience with data warehouse testing strategies and frameworks.
- Familiarity with big data technologies and how they integrate with traditional data warehouses.
This position offers the opportunity to work with cutting-edge data warehousing technologies while supporting critical payment systems infrastructure.
Onsite Work Expectation:
The Bank believes in flexibility to balance the demands of work and life while also recognizing the necessity of connecting and collaborating with our colleagues in person. Onsite work is an essential function of this position, and you are required to be onsite according to the schedule set by your management.
Full Time / Part Time
Full time
Regular / Temporary
Regular
Job Exempt (Yes / No)
Yes
Job Category
Information Technology Family Group
Work Shift
First (United States of America)
The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Company
Federal Reserve Bank of Atlanta
Federal Reserve Financial Services (FRFS) delivers a suite of payments services to financial institutions via FedLine® Solutions, Fedwire® Funds and Securities, the National Settlement Service (NSS), FedCash®1, FedACH®, Check Services, and the FedNow® Service. FRFS operates as a fully integrated organization with groups dedicated to customer experience, operations, technology, product and customer/industry management, enterprise services, payments system improvement, and one focused on the ongoing growth and development of the FedNow instant payment service. Our strategy defines our future direction, seeking to offer a fully integrated product suite that provides speed, resilience, and choice in meeting the payments needs of FRFS customers across the United States. Through our Enterprise structure, we strive to meet the needs of the marketplace for new products and services with speed and agility, seek to provide a robust and unified customer experience, and work to create career growth opportunities for FRFS staff.
The FRFS Enterprise operates with a customer-first mindset, comprised of team members seeking to do the best work of their careers in pursuit of our important central bank mission.
The following Reserve Bank locations are preferred due to the concentration of FRFS team members in these locations: Chicago, Kansas City, Minneapolis, Atlanta
The selected candidate will reside within a reasonable commuting distance defined by the employing Reserve Bank and will work full-time onsite.
Job Description:
You will help administer and support Oracle databases with other DBAs within the operations organization. Collaborating with initiative and project owners to provide expert advice and support to enhance business outcomes. You will be part of the FRFS Technical Operations team that is tasked with overseeing the day-to-day operability of our nation’s payment systems.
Responsibilities:
- Perform research activities with a focus on complex data warehousing systems, automated ETL/ELT processes, data architecture, enterprise information systems, and project enhancements with Bank and System-wide impact.
- Optimize data warehouse performance through partitioning strategies, indexing, materialized views, and query tuning.
- Identify and analyze operational impacts of new projects, services, data warehouse infrastructure, enterprise information systems, and automated systems. Address moderately complex data-related customer issues.
- Support the organization with proposals for data warehouse architecture changes and enhancements. Provide input to the development and implementation of data standards, procedures, and safeguards.
- Work with management and staff across customer and service provider areas to define business and technical requirements for enterprise data warehousing and analytics systems. Communicate complex technical topics to non-technical audiences.
- Collaborate and communicate with team members to perform work, resolve issues, update statuses, and analyze and report on alternative data warehouse design solutions.
- Provide technical expertise in database and data warehouse solutions including DBMS tools and utilities usage, database administration, backup and recovery, database performance tuning and monitoring.
- Ability to influence development organizations to comply with data warehousing best practices, naming conventions, and design standards.
- Lead the support and enhancements of Oracle databases and data warehouse platforms in a highly available architecture.
- Assist with database and data warehouse platform contingency events.
- Travel required up to 15% of the time.
- Participate in database support on-call rotation.
- Perform other responsibilities as assigned.
Qualifications:
Required:
- Experience: Minimum 8 years supporting, designing, and engineering highly complex RAC-enabled Oracle data warehouse and data technology solutions across multiple diverse platforms requiring high performing, high volume transaction processing and analytical workloads. Experience with RAC one-node.
- Oracle Data Warehousing: Proven experience designing and implementing Oracle data warehouses including dimensional modeling, ETL/ELT processes, data integration, and performance optimization.
- Data Modeling: Familiarity with dimensional modeling techniques (star schema, snowflake schema), slowly changing dimensions, and data warehouse design patterns.
- Oracle RDBMS and PL/SQL: Strong understanding of PL/SQL; ability to read/review code and offer suggestions to improve developer Packages, Functions, and Procedures.
- Unix, Linux, and/or AIX experience required.
- Performance Tuning: Expertise in query optimization, partitioning strategies, indexing, and materialized views for data warehouse environments.
Strongly Preferred:
- Oracle Analytics Server (OAS) and/or Oracle Business Intelligence Enterprise Edition (OBIEE) experience with data warehouse integration.
- Experience with Operational Data Store (ODS) design and implementation.
- Experience working with Oracle Exadata.
- Java, Python, or other programming languages knowledge/experience for data processing and automation.
- Experience using ServiceNow and Jira for project and incident management.
- Experience working in Agile/DevOps teams for iterative data warehouse development.
- Ability to independently provide summary and recommendations on operational and analytical data.
- Knowledge and understanding of organizing or structuring complex data across varied data sources in a data warehouse context.
- Knowledge and understanding of data requirements management, modeling, and analysis.
- Strong understanding of data lifecycle management and archival strategies.
- Experience with data warehouse testing strategies and frameworks.
- Familiarity with big data technologies and how they integrate with traditional data warehouses.
This position offers the opportunity to work with cutting-edge data warehousing technologies while supporting critical payment systems infrastructure.
Onsite Work Expectation:
The Bank believes in flexibility to balance the demands of work and life while also recognizing the necessity of connecting and collaborating with our colleagues in person. Onsite work is an essential function of this position, and you are required to be onsite according to the schedule set by your management.
Full Time / Part Time
Full time
Regular / Temporary
Regular
Job Exempt (Yes / No)
Yes
Job Category
Information Technology Family Group
Work Shift
First (United States of America)
The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.
Senior Data Science Engineer Job Roles in Missouri
See all 30+ Senior Data Science Engineer Jobs in Missouri
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Search Senior Data Science Engineer Jobs in MissouriSenior Data Science Engineer Jobs in Missouri: Frequently Asked Questions
Which companies in Missouri sponsor visas for senior data science engineers?
MasterCard and World Wide Technology in St. Louis, Cerner (now Oracle Health) in Kansas City, and Express Scripts have filed Labor Condition Applications for senior-level data science roles in Missouri. Large financial services firms, healthcare technology companies, and logistics operations in both metro areas have demonstrated patterns of sponsoring H-1B petitions for engineers at the senior level.
Which visa types are most common for senior data science engineer roles in Missouri?
The H-1B is the most common visa for senior data science engineers in Missouri. The role qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or applied mathematics. Candidates already holding an L-1B intracompany transfer visa or an O-1A for individuals with extraordinary ability may also find pathways through Missouri employers, depending on their background and the employer's structure.
Which cities in Missouri have the most senior data science engineer sponsorship jobs?
St. Louis and Kansas City account for the overwhelming majority of senior data science engineer sponsorship activity in Missouri. St. Louis draws from its financial services and healthcare IT sectors, while Kansas City's technology corridor, anchored by healthcare and logistics companies, generates consistent demand. Columbia and Springfield have smaller but growing tech presences, largely connected to university research and regional enterprise deployments.
How to find senior data science engineer visa sponsorship jobs in Missouri?
Migrate Mate filters job listings specifically for roles where employers are open to visa sponsorship, including senior data science engineer positions in Missouri. Rather than sorting through general job boards where sponsorship willingness is unclear, Migrate Mate surfaces opportunities at Missouri employers who have sponsored similar roles before, helping you focus your applications on companies with an established track record in this space.
Are there any Missouri-specific considerations for senior data science engineers pursuing visa sponsorship?
Missouri's prevailing wage requirements for H-1B positions are determined by the Standard Occupational Classification for the specific role and the metropolitan statistical area, so St. Louis and Kansas City have separate wage determinations. Washington University in St. Louis and University of Missouri graduates in data science and engineering fields create a local talent pipeline that Missouri employers draw from, and some academic medical centers in the state also sponsor senior technical roles under cap-exempt provisions.
What is the prevailing wage for sponsored senior data science engineer jobs in Missouri?
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.
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