Lead Infrastructure Engineer Visa Sponsorship Jobs in Missouri
Lead infrastructure engineer jobs in Missouri draw from the state's expanding technology corridors in St. Louis and Kansas City, where employers like World Wide Technology, Cerner (now Oracle Health), and major financial and healthcare institutions actively hire senior infrastructure talent. International candidates with relevant engineering degrees will find meaningful visa sponsorship activity across both metro areas.
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Overview:
We're looking for a senior engineer who combines an architecture mindset with deep hands-on experience — someone who can design scalable systems and personally build and ship them into production. As our lead data engineer, you will own pipelines end-to-end across Google Cloud and Azure Databricks, from whiteboard to running code, while setting the technical direction for our enterprise data products, mentoring the team, and serving as the bridge between business stakeholders and engineering to turn strategic goals into robust, secure data solutions.
Responsibilities:
- Architect, build, and ship scalable batch and streaming data pipelines into production using BigQuery Dataform, Google Cloud Dataflow, Confluent Kafka, and Pub/Sub.
- Design and build data pipelines on Azure Databricks using Apache Spark, Delta Lake, and Unity Catalog, keeping engineering patterns consistent with our Google Cloud platform.
- Manage the end-to-end data product lifecycle, serving as the technical owner for critical data assets and establishing clear service level objectives.
- Provide technical leadership and mentorship to junior and senior engineers, conducting code reviews and fostering a culture of technical excellence.
- Lead the engineering team across Google Cloud and Azure Databricks environments, setting multi-cloud architecture standards for data movement, interoperability, security, and cost management.
- Partner with product managers, business analysts, and leadership to define data product requirements, align roadmaps, and manage engineering delivery schedules.
- Define, document, and enforce data engineering standards, including CI/CD practices, robust testing frameworks, and comprehensive technical documentation.
- Own the monitoring, cost optimization, and troubleshooting of production pipelines to maintain reliable business operations.
- Evaluate emerging technologies, particularly generative AI integrations and advanced governance tools, to continuously improve data platform capabilities.
Qualifications
Required:
- Bachelor Degree in Computer Science, Management Information Systems, Engineering or related field and 8 years Required
- Expert knowledge in programming languages and coding principles and procedures.
- Expert in web development framework.
- Strong attention to detail, facilitation, team building, collaboration, organization, and problem-solving skills.
- Excellent verbal and written communication skills.
- Ability to work methodically and analytically in a quantitative problem-solving environment.
- Demonstrated critical thinking skills.
- Expert in Microsoft Office Suite (Word, Excel, and PPT).
- Strong attention to detail, facilitation, team building and collaboration.
- Ability to obtain applicable certifications.
Strongly Preferred:
- Ten or more years of experience in data engineering, data warehousing, or data architecture, with at least five years in a technical leadership, mentoring, or consulting role.
- Deep technical expertise with Google Cloud, BigQuery, Dataflow, and related cloud data services.
- Hands-on production experience with Azure Databricks, including Apache Spark (PySpark), Delta Lake, and Unity Catalog.
- Proven experience architecting and leading delivery on multi-cloud data platforms, ideally spanning Google Cloud and Azure.
- Production experience designing and deploying real-time streaming architectures using messaging platforms like Confluent Kafka or Google Pub/Sub.
- Strong expertise in workflow orchestration using scheduling tools like Airflow.
- Advanced SQL skills and extensive experience with transformation frameworks like Dataform or dbt.
- Production experience with at least one transactional database, such as Oracle, SQL Server, or PostgreSQL.
- Strong hands-on coding skills in Python or Java, with a track record of personally shipping production-grade data pipelines.
- Demonstrated experience managing data product delivery, defining schemas, and establishing data quality baselines.
- Strong communication skills with a proven track record of collaborating with cross-functional stakeholders and translating business needs into technical specifications.
- Strong problem-solving abilities and experience leading engineering teams in fast-paced environments.
- Experience coding with agentic tooling as part of generative AI workflows.
- Direct experience implementing data mesh principles, managing data products, and using tools like Knowledge Catalog (Dataplex) or Entropy Data for contract management.
- Advanced knowledge of data security, compliance, and governance tooling such as Immuta and native BigQuery security controls.
- Experience operating across hybrid or multi-data platform environments, including Palantir.
- Google Cloud Professional Data Engineer or Professional Cloud Architect certification.
- Databricks Certified Data Engineer Professional or Microsoft Azure data certifications, plus certifications in supporting technologies such as Power BI.
This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.
EEO/Disabled/Veterans
Job Web Development
Primary Location US-MO-Kansas City
Schedule: Full-time
Travel: No
Req ID: 265156
Job Hire Type Experienced #LI-MJ #COR
Description
Overview:
We're looking for a senior engineer who combines an architecture mindset with deep hands-on experience — someone who can design scalable systems and personally build and ship them into production. As our lead data engineer, you will own pipelines end-to-end across Google Cloud and Azure Databricks, from whiteboard to running code, while setting the technical direction for our enterprise data products, mentoring the team, and serving as the bridge between business stakeholders and engineering to turn strategic goals into robust, secure data solutions.
Responsibilities:
- Architect, build, and ship scalable batch and streaming data pipelines into production using BigQuery Dataform, Google Cloud Dataflow, Confluent Kafka, and Pub/Sub.
- Design and build data pipelines on Azure Databricks using Apache Spark, Delta Lake, and Unity Catalog, keeping engineering patterns consistent with our Google Cloud platform.
- Manage the end-to-end data product lifecycle, serving as the technical owner for critical data assets and establishing clear service level objectives.
- Provide technical leadership and mentorship to junior and senior engineers, conducting code reviews and fostering a culture of technical excellence.
- Lead the engineering team across Google Cloud and Azure Databricks environments, setting multi-cloud architecture standards for data movement, interoperability, security, and cost management.
- Partner with product managers, business analysts, and leadership to define data product requirements, align roadmaps, and manage engineering delivery schedules.
- Define, document, and enforce data engineering standards, including CI/CD practices, robust testing frameworks, and comprehensive technical documentation.
- Own the monitoring, cost optimization, and troubleshooting of production pipelines to maintain reliable business operations.
- Evaluate emerging technologies, particularly generative AI integrations and advanced governance tools, to continuously improve data platform capabilities.
Qualifications
Required:
- Bachelor Degree in Computer Science, Management Information Systems, Engineering or related field and 8 years Required
- Expert knowledge in programming languages and coding principles and procedures.
- Expert in web development framework.
- Strong attention to detail, facilitation, team building, collaboration, organization, and problem-solving skills.
- Excellent verbal and written communication skills.
- Ability to work methodically and analytically in a quantitative problem-solving environment.
- Demonstrated critical thinking skills.
- Expert in Microsoft Office Suite (Word, Excel, and PPT).
- Strong attention to detail, facilitation, team building and collaboration.
- Ability to obtain applicable certifications.
Strongly Preferred:
- Ten or more years of experience in data engineering, data warehousing, or data architecture, with at least five years in a technical leadership, mentoring, or consulting role.
- Deep technical expertise with Google Cloud, BigQuery, Dataflow, and related cloud data services.
- Hands-on production experience with Azure Databricks, including Apache Spark (PySpark), Delta Lake, and Unity Catalog.
- Proven experience architecting and leading delivery on multi-cloud data platforms, ideally spanning Google Cloud and Azure.
- Production experience designing and deploying real-time streaming architectures using messaging platforms like Confluent Kafka or Google Pub/Sub.
- Strong expertise in workflow orchestration using scheduling tools like Airflow.
- Advanced SQL skills and extensive experience with transformation frameworks like Dataform or dbt.
- Production experience with at least one transactional database, such as Oracle, SQL Server, or PostgreSQL.
- Strong hands-on coding skills in Python or Java, with a track record of personally shipping production-grade data pipelines.
- Demonstrated experience managing data product delivery, defining schemas, and establishing data quality baselines.
- Strong communication skills with a proven track record of collaborating with cross-functional stakeholders and translating business needs into technical specifications.
- Strong problem-solving abilities and experience leading engineering teams in fast-paced environments.
- Experience coding with agentic tooling as part of generative AI workflows.
- Direct experience implementing data mesh principles, managing data products, and using tools like Knowledge Catalog (Dataplex) or Entropy Data for contract management.
- Advanced knowledge of data security, compliance, and governance tooling such as Immuta and native BigQuery security controls.
- Experience operating across hybrid or multi-data platform environments, including Palantir.
- Google Cloud Professional Data Engineer or Professional Cloud Architect certification.
- Databricks Certified Data Engineer Professional or Microsoft Azure data certifications, plus certifications in supporting technologies such as Power BI.
This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.
EEO/Disabled/Veterans
Job Web Development
Primary Location US-MO-Kansas City
Schedule: Full-time
Travel: No
Req ID: 265156
Job Hire Type Experienced #LI-MJ #COR
Lead Infrastructure Engineer Job Roles in Missouri
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Search Lead Infrastructure Engineer Jobs in MissouriLead Infrastructure Engineer Jobs in Missouri: Frequently Asked Questions
Which companies sponsor visas for lead infrastructure engineers in Missouri?
World Wide Technology in St. Louis is one of Missouri's most active technology employers and has a documented history of H-1B visa sponsorship for senior infrastructure roles. Oracle Health (formerly Cerner) in Kansas City, Edward Jones, and Centene Corporation also appear regularly in federal labor certification filings for senior engineering positions. Mid-size managed service providers and healthcare IT firms across both metros also sponsor at this level.
Which visa types realistically fit lead infrastructure engineer roles in Missouri?
The H-1B is the primary path, since lead infrastructure engineer roles require a bachelor's degree in computer science, information systems, or a related engineering field, satisfying the specialty occupation standard. Canadian and Mexican nationals may qualify under TN visa status as engineers under the USMCA profession list. Singaporean and Chilean nationals may qualify for the H-1B1 visa. Candidates with advanced degrees can also pursue EB-2 or EB-3 green card sponsorship through PERM labor certification.
Which cities in Missouri have the most lead infrastructure engineer sponsorship jobs?
St. Louis generates the highest volume of lead infrastructure engineer sponsorship activity in Missouri, driven by its concentration of technology services firms, financial institutions, and healthcare companies. Kansas City is the second major hub, anchored by Oracle Health and a growing cluster of fintech and logistics technology employers. Columbia sees occasional openings tied to University of Missouri's IT operations, though at lower volume than the two primary metros.
How to find lead infrastructure engineer visa sponsorship jobs in Missouri?
Migrate Mate lists Missouri employers with verified visa sponsorship history for lead infrastructure engineer roles, letting you search specifically within St. Louis, Kansas City, and other Missouri locations without sifting through unverified postings. Because Migrate Mate surfaces employers based on actual Labor Condition Application filing data, you can identify companies that have sponsored comparable senior infrastructure positions before, which is more reliable than generic job board filters.
Are there state-specific factors that affect visa sponsorship for lead infrastructure engineers in Missouri?
Missouri's technology sector is concentrated in St. Louis's growing tech hub and Kansas City's healthcare IT corridor, which means sponsorship activity tracks closely with those industries rather than being evenly distributed statewide. World Wide Technology's global delivery model creates recurring demand for senior infrastructure engineers. Missouri has no state-level immigration restrictions on private employers, so federal visa rules apply uniformly. The University of Missouri system also generates a pipeline of F-1 candidates who may transition to H-1B sponsorship.
What is the prevailing wage for sponsored lead infrastructure 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.