Senior Data Science Engineer Visa Sponsorship Jobs in Kansas
Senior data science engineer roles in Kansas are concentrated in the Kansas City metro area, with employers like Cerner (now Oracle Health), Garmin, and Sprint (now T-Mobile) historically filing for sponsored positions. Wichita's aviation and manufacturing sector also generates data science demand. The University of Kansas and Kansas State University supply local talent pipelines that inform what hiring teams expect.
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Get Access To All JobsINTRODUCTION
Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. In this role, you will combine deep technical expertise with strong consulting skills — engaging directly with clients, understanding business needs, translating requirements into scalable technical solutions, and communicating clearly with both technical and non-technical stakeholders.
Responsibilities
- Work directly with clients to understand business goals, data challenges, and technical requirements
- Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
- Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources
- Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
- Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
- Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
- Help establish engineering standards, reusable frameworks, accelerators, and documentation for internal and client teams
- Contribute to estimation, project planning, and delivery management for client engagements
MINIMUM REQUIREMENTS
- Bachelor’s degree in computer science or related field
- 8 years of experience in data engineering, data platform development, or cloud data solutions
- 3 years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
- Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB
- Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
- Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
- DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
- Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
PREFERRED QUALIFICATIONS
- Azure Database for PostgreSQL
- Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment
- Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
- Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
- Experience with Delta Lake, Unity Catalog, and Databricks workspace administration or governance
- Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
About Reply
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
INTRODUCTION
Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. In this role, you will combine deep technical expertise with strong consulting skills — engaging directly with clients, understanding business needs, translating requirements into scalable technical solutions, and communicating clearly with both technical and non-technical stakeholders.
Responsibilities
- Work directly with clients to understand business goals, data challenges, and technical requirements
- Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
- Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources
- Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
- Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
- Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
- Help establish engineering standards, reusable frameworks, accelerators, and documentation for internal and client teams
- Contribute to estimation, project planning, and delivery management for client engagements
MINIMUM REQUIREMENTS
- Bachelor’s degree in computer science or related field
- 8 years of experience in data engineering, data platform development, or cloud data solutions
- 3 years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
- Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB
- Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
- Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
- DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
- Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
PREFERRED QUALIFICATIONS
- Azure Database for PostgreSQL
- Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment
- Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
- Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
- Experience with Delta Lake, Unity Catalog, and Databricks workspace administration or governance
- Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
About Reply
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Senior Data Science Engineer Job Roles in Kansas
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Search Senior Data Science Engineer Jobs in KansasSenior Data Science Engineer Jobs in Kansas: Frequently Asked Questions
Which companies in Kansas sponsor visas for senior data science engineers?
Companies with a track record of sponsoring senior data science engineers in Kansas include Oracle Health (formerly Cerner) in the Kansas City metro, Garmin in Olathe, and Evergy in Kansas City. Larger financial services firms and agricultural technology companies operating in the state have also filed Labor Condition Applications for data science roles. Sponsorship activity is most consistent at mid-to-large enterprises with established HR and legal infrastructure.
What visa types are most common for senior data science engineer roles in Kansas?
The H-1B is the most common visa category for senior data science engineers in Kansas, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already holding O-1A status or transferring from another employer on an H-1B can use cap-exempt or portability pathways. Some employers in Kansas also support EB-2 or EB-3 green card sponsorship for long-term hires.
Which cities in Kansas have the most senior data science engineer sponsorship jobs?
The Kansas City metro area, including Overland Park, Olathe, and Lenexa on the Kansas side, accounts for the majority of senior data science engineer sponsorship activity in the state. Wichita is a secondary hub, driven by aerospace companies like Spirit AeroSystems and Boeing's local operations, which increasingly use data engineering for manufacturing and supply chain analytics. Lawrence and Manhattan have smaller markets tied to university research partnerships.
How to find senior data science engineer visa sponsorship jobs in Kansas?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse senior data science engineer roles in Kansas without manually screening out positions that don't sponsor. You can filter by state and role to surface relevant openings at Kansas employers actively seeking sponsored candidates. This saves significant time compared to sorting through general job listings where sponsorship status is rarely stated upfront.
Are there any Kansas-specific considerations for senior data science engineers seeking visa sponsorship?
Kansas employers must comply with Department of Labor prevailing wage requirements for the Kansas City or Wichita metro areas, which are calculated separately from major coastal markets. The state's concentration in health IT, agriculture technology, and aviation means senior data science engineers with domain expertise in those industries are more competitive locally. The University of Kansas and Kansas State University also produce OPT-eligible graduates that some employers consider alongside sponsored candidates.
What is the prevailing wage for sponsored senior data science engineer jobs in Kansas?
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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