AI Data Engineer Visa Sponsorship Jobs in Kansas
AI data engineer roles in Kansas are concentrated around Kansas City's growing tech corridor, with employers like Cerner (Oracle Health), Garmin, and Sprint (T-Mobile) historically sponsoring international talent. Wichita's aerospace and manufacturing sectors are also expanding AI-driven data infrastructure teams, creating additional sponsorship opportunities across the state.
Find AI Data Engineer JobsOverview
Showing 5 of 58+ AI Data Engineer Jobs in Kansas with Visa Sponsorship
See all 58+ AI Data Engineer Jobs in Kansas with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Data Engineer Jobs in Kansas with Visa Sponsorship.
Get Access To All JobsAI Data Platform Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Data Platform Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $135,000–$170,000 Annually
Experience Required: 6+ years
Job Summary
We are seeking an AI Data Platform Engineer to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity.
Key Responsibilities
- Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers
- Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization
- Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi
- Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads
- Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub
- Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns
- Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs
- Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers
- Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams
- Drive cost optimization and capacity planning across the data platform estate
- Design disaster recovery, multi-region, and high-availability strategies for critical data assets
- Mentor data engineers and architects on platform standards and emerging best practices
- Produce architecture artifacts including context diagrams, decision records, and reference patterns
- Stay current with data platform research, vendor offerings, and open-source ecosystem developments
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
- Eight or more years of experience in data engineering, with significant time in architecture roles
- Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift
- Strong understanding of lakehouse architectures, modern table formats, and streaming systems
- Hands-on experience with Spark, Flink, or Kafka at production scale
- Strong data modeling expertise across dimensional, normalized, and data-vault patterns
- Experience implementing governance, lineage, and catalog capabilities
- Solid grasp of cloud platforms, networking, identity, and cost optimization
- Excellent communication, facilitation, and stakeholder management skills
- Track record of leading large data platform initiatives across teams
Preferred Qualifications
- Experience with data mesh or data product architectures
- Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML
- Exposure to regulated industries with strict data residency or audit requirements
- Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP)
- Public talks or writing on data architecture
How To Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
AI Data Platform Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Data Platform Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $135,000–$170,000 Annually
Experience Required: 6+ years
Job Summary
We are seeking an AI Data Platform Engineer to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity.
Key Responsibilities
- Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers
- Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization
- Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi
- Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads
- Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub
- Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns
- Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs
- Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers
- Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams
- Drive cost optimization and capacity planning across the data platform estate
- Design disaster recovery, multi-region, and high-availability strategies for critical data assets
- Mentor data engineers and architects on platform standards and emerging best practices
- Produce architecture artifacts including context diagrams, decision records, and reference patterns
- Stay current with data platform research, vendor offerings, and open-source ecosystem developments
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
- Eight or more years of experience in data engineering, with significant time in architecture roles
- Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift
- Strong understanding of lakehouse architectures, modern table formats, and streaming systems
- Hands-on experience with Spark, Flink, or Kafka at production scale
- Strong data modeling expertise across dimensional, normalized, and data-vault patterns
- Experience implementing governance, lineage, and catalog capabilities
- Solid grasp of cloud platforms, networking, identity, and cost optimization
- Excellent communication, facilitation, and stakeholder management skills
- Track record of leading large data platform initiatives across teams
Preferred Qualifications
- Experience with data mesh or data product architectures
- Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML
- Exposure to regulated industries with strict data residency or audit requirements
- Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP)
- Public talks or writing on data architecture
How To Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
AI Data Engineer Job Roles in Kansas
See all 58+ AI Data Engineer Jobs in Kansas
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search AI Data Engineer Jobs in KansasAI Data Engineer Jobs in Kansas: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in Kansas?
Kansas City-area employers have the strongest sponsorship track record for AI data engineers in Kansas. Oracle Health (formerly Cerner), Garmin, T-Mobile's Sprint operations, and Evergy have filed H-1B visa Labor Condition Applications for data and AI roles. Wichita-based aerospace firms like Spirit AeroSystems and Textron Aviation increasingly hire for data engineering positions as they modernize operations with AI-driven tooling.
Which visa types are most common for AI data engineer roles in Kansas?
The H-1B is the most common visa category for AI data engineers in Kansas, as these roles typically qualify as specialty occupations requiring a bachelor's degree or higher in computer science, data science, or a related field. Candidates already holding OPT or STEM OPT work authorization are also actively hired, since that allows employment before H-1B sponsorship is initiated. The O-1A is an option for engineers with demonstrated exceptional achievement.
Which cities in Kansas have the most AI data engineer sponsorship jobs?
Kansas City (including Overland Park and Lenexa on the Kansas side) is by far the strongest market for AI data engineer sponsorship jobs in the state, driven by its established tech and healthcare IT sectors. Wichita is a secondary market with growth in aerospace and manufacturing data roles. Lawrence has a smaller but active presence tied to the University of Kansas research ecosystem.
How to find ai data engineer visa sponsorship jobs in Kansas?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search AI data engineer roles in Kansas without sifting through postings that won't support international candidates. Concentrate your search on the Kansas City metro, particularly Overland Park and Lenexa, where the density of technology employers is highest. Filtering by H-1B sponsorship history on Migrate Mate narrows results to employers with a verified record of sponsoring this role type.
Are there any state-specific considerations for AI data engineers pursuing sponsorship in Kansas?
Kansas does not impose state-level visa or work authorization requirements beyond federal standards, but prevailing wage compliance is particularly scrutinized in the Kansas City metro because DOL uses regional wage data for LCA certification. AI data engineer positions are typically classified under SOC codes for software developers or computer and information research scientists, so employers and candidates should confirm the correct classification is used, as it directly affects the prevailing wage level on the LCA.
What is the prevailing wage for sponsored ai data 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.