Data Science Engineer Visa Sponsorship Jobs in Missouri
Missouri's data science engineer roles are concentrated in St. Louis and Kansas City, where companies like Mastercard, Express Scripts, Cerner, and Centene operate major technology and analytics divisions. Healthcare, financial services, and logistics firms in Missouri actively hire for these positions, and several have established records of sponsoring H-1B and other work visas for qualified candidates.
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Clayco is a full-service, turnkey real estate development, master planning, architecture, engineering, and construction firm that safely delivers clients across North America the highest quality solutions on time, on budget, and above and beyond expectations. With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building," providing fast track, efficient solutions for mission critical, industrial, life sciences, power & energy, aviation, commercial, institutional, residential and sports & entertainment related building projects.
The Role We Want You For
As a Data Engineer at Clayco, you will help build and operate the Snowflake data lakehouse that powers reporting, advanced analytics, and AI. You’ll design reliable, well-tested pipelines and curated data models, improve platform performance and monitoring, and partner with both technical teams and business stakeholders to translate requirements into scalable, self-service data products. In this role, you will be part of a fast-paced team designing and implementing creative solutions to complex business issues.
The Specifics of the Role
- Design, build, and maintain data pipelines from various source systems into a Snowflake data lakehouse.
- Analyze data elements, data flow, dependencies, and relationships from different systems and assist in designing conceptual, physical, and logical data models.
- Develop complex data sets to fulfill diverse business needs in reporting, advanced analytics, and ad-hoc analysis.
- Coordinate with third-party service providers for the construction and maintenance of data pipelines.
- Execute and enable data migrations across systems, such as SQL Server to Snowflake or other cloud data platforms.
- Develop and implement scripts for data lakehouse maintenance, monitoring, and performance tuning.
- Implement data quality checks, anomaly detection, and SLAs.
- Maintain metadata and documentation.
- Assist various business and technical stakeholders with data-related technical needs and issues.
- Collaborate closely with cross-functional teams to understand and transform business requirements into scalable and manageable data solutions.
- Present solutions and options to leadership, project teams, and stakeholders, adapting the communication style to both technical and non-technical audiences.
- Ensure adherence to documented design and development patterns and standards within the team.
- Proactively monitor and resolve ongoing production issues.
- Promote the approach of self-service data solutions and enable other teams with analytics solutions delivery through a 'Data as a Service' model.
- Make data AI-ready by translating business knowledge into a semantic layer.
Requirements
- Hands-on experience in designing, developing, and implementing data solutions.
- Advanced SQL knowledge with strong query writing and stored procedures skills.
- Strong experience with relational databases such as Snowflake, SQL Server, or Oracle.
- Proficiency in object-oriented/object function scripting languages such as Python, Java, Scala, etc.
- Basic knowledge and understanding of Azure cloud services.
- Basic knowledge and understanding of stream-processing systems.
- Experience with data analysis, ETL, and workflow automation.
- Experience with AI systems both for personal productivity as well as business enablement.
Some Things You Should Know
- No other builder can offer the collaborative design-build approach that Clayco does.
- We work on creative, complex, award-winning, high-profile jobs.
- The pace is fast!
Why Clayco?
- 2025 Best Places to Work – St. Louis Business Journal, Los Angeles Business Journal, and Phoenix Business Journal.
- 2025 ENR Top 400 – Top Data Center Contractor (Top 3).
- 2025 ENR Top 100 Design-Build Firms – Design-Build Contractor (Top 5).
- 2025 ENR Top 100 Green Contractors – Green Contractor (Top 3).
Benefits
- Discretionary Annual Bonus: Subject to company and individual performance.
- Comprehensive Benefits Package Including: Medical, dental and vision plans, 401k, generous PTO and paid company holidays, employee assistance program, flexible spending accounts, life insurance, disability coverage, learning & development programs and more!
Compensation
- The salary range for this position considers a wide range of factors in making compensation decisions including but not limited to: Education, qualifications, skills, training, experience, certifications, internal equity, and location. Compensation decisions are dependent on the facts and circumstances of each case.
About us
Clayco is a full-service, turnkey real estate development, master planning, architecture, engineering, and construction firm that safely delivers clients across North America the highest quality solutions on time, on budget, and above and beyond expectations. With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building," providing fast track, efficient solutions for mission critical, industrial, life sciences, power & energy, aviation, commercial, institutional, residential and sports & entertainment related building projects.
The Role We Want You For
As a Data Engineer at Clayco, you will help build and operate the Snowflake data lakehouse that powers reporting, advanced analytics, and AI. You’ll design reliable, well-tested pipelines and curated data models, improve platform performance and monitoring, and partner with both technical teams and business stakeholders to translate requirements into scalable, self-service data products. In this role, you will be part of a fast-paced team designing and implementing creative solutions to complex business issues.
The Specifics of the Role
- Design, build, and maintain data pipelines from various source systems into a Snowflake data lakehouse.
- Analyze data elements, data flow, dependencies, and relationships from different systems and assist in designing conceptual, physical, and logical data models.
- Develop complex data sets to fulfill diverse business needs in reporting, advanced analytics, and ad-hoc analysis.
- Coordinate with third-party service providers for the construction and maintenance of data pipelines.
- Execute and enable data migrations across systems, such as SQL Server to Snowflake or other cloud data platforms.
- Develop and implement scripts for data lakehouse maintenance, monitoring, and performance tuning.
- Implement data quality checks, anomaly detection, and SLAs.
- Maintain metadata and documentation.
- Assist various business and technical stakeholders with data-related technical needs and issues.
- Collaborate closely with cross-functional teams to understand and transform business requirements into scalable and manageable data solutions.
- Present solutions and options to leadership, project teams, and stakeholders, adapting the communication style to both technical and non-technical audiences.
- Ensure adherence to documented design and development patterns and standards within the team.
- Proactively monitor and resolve ongoing production issues.
- Promote the approach of self-service data solutions and enable other teams with analytics solutions delivery through a 'Data as a Service' model.
- Make data AI-ready by translating business knowledge into a semantic layer.
Requirements
- Hands-on experience in designing, developing, and implementing data solutions.
- Advanced SQL knowledge with strong query writing and stored procedures skills.
- Strong experience with relational databases such as Snowflake, SQL Server, or Oracle.
- Proficiency in object-oriented/object function scripting languages such as Python, Java, Scala, etc.
- Basic knowledge and understanding of Azure cloud services.
- Basic knowledge and understanding of stream-processing systems.
- Experience with data analysis, ETL, and workflow automation.
- Experience with AI systems both for personal productivity as well as business enablement.
Some Things You Should Know
- No other builder can offer the collaborative design-build approach that Clayco does.
- We work on creative, complex, award-winning, high-profile jobs.
- The pace is fast!
Why Clayco?
- 2025 Best Places to Work – St. Louis Business Journal, Los Angeles Business Journal, and Phoenix Business Journal.
- 2025 ENR Top 400 – Top Data Center Contractor (Top 3).
- 2025 ENR Top 100 Design-Build Firms – Design-Build Contractor (Top 5).
- 2025 ENR Top 100 Green Contractors – Green Contractor (Top 3).
Benefits
- Discretionary Annual Bonus: Subject to company and individual performance.
- Comprehensive Benefits Package Including: Medical, dental and vision plans, 401k, generous PTO and paid company holidays, employee assistance program, flexible spending accounts, life insurance, disability coverage, learning & development programs and more!
Compensation
- The salary range for this position considers a wide range of factors in making compensation decisions including but not limited to: Education, qualifications, skills, training, experience, certifications, internal equity, and location. Compensation decisions are dependent on the facts and circumstances of each case.
Data Science Engineer Job Roles in Missouri
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Search Data Science Engineer Jobs in MissouriData Science Engineer Jobs in Missouri: Frequently Asked Questions
Which companies in Missouri sponsor visas for data science engineers?
Several large Missouri employers have sponsored work visas for data science and engineering roles in recent years. Mastercard's St. Louis technology hub, Express Scripts (now part of Cigna), Cerner, Centene, and Edward Jones are among the companies with documented H-1B sponsorship activity. Larger corporations with dedicated data and analytics teams tend to have the infrastructure and legal support to manage the sponsorship process.
Which visa types are most common for data science engineer roles in Missouri?
The H-1B is the most common visa for data science engineers in Missouri, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field like computer science, statistics, or engineering. Candidates already holding OPT or STEM OPT authorization can begin work before H-1B sponsorship is pursued. O-1A visas are an option for candidates with documented exceptional achievement in the field.
Which cities in Missouri have the most data science engineer sponsorship jobs?
St. Louis is Missouri's primary hub for data science engineering roles, driven by its concentration of healthcare, financial services, and technology employers. Kansas City is a growing second market, particularly in fintech, logistics, and insurance analytics. Smaller pockets of activity exist near university research corridors, but the vast majority of sponsoring employers with data science teams are headquartered or have major offices in these two metro areas.
How to find data science engineer visa sponsorship jobs in Missouri?
Migrate Mate is built specifically for international candidates searching for visa-sponsored roles, including data science engineer positions in Missouri. You can filter jobs by state and role type to surface employers who have an active history of sponsorship. This is more efficient than broad searches, since Missouri's sponsoring employers for data science roles are concentrated in specific industries and companies worth targeting directly.
Are there state-specific or role-specific considerations for data science engineers seeking sponsorship in Missouri?
Missouri does not impose state-level immigration requirements beyond federal standards, but the industry mix matters for candidates. Healthcare and financial services employers, which dominate Missouri's data science hiring, often require candidates to pass background checks and hold clearances that can affect timelines. Missouri's universities, including Washington University in St. Louis and University of Missouri, also produce graduate pipelines that some employers already have sponsorship relationships with.
What is the prevailing wage for sponsored 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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