Lead Data Engineer Visa Sponsorship Jobs in Missouri
Lead data engineer visa sponsorship jobs in Missouri are concentrated in St. Louis and Kansas City, where employers like Express Scripts, World Wide Technology, Cerner (now Oracle Health), and major financial institutions run large data engineering teams. Missouri's growing health tech and logistics sectors create steady demand for senior-level pipeline and infrastructure talent requiring sponsorship.
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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 Data Engineer Job Roles in Missouri
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Search Lead Data Engineer Jobs in MissouriLead Data Engineer Jobs in Missouri: Frequently Asked Questions
Which companies in Missouri sponsor visas for lead data engineers?
St. Louis-based employers with active H-1B visa filing histories for data engineering roles include World Wide Technology, Express Scripts, and Mastercard's regional operations. In Kansas City, Oracle Health (formerly Cerner), Cerner's legacy teams, and several fintech and insurance companies have sponsored senior data engineering positions. Large enterprises in logistics and healthcare tend to have established immigration programs suited to lead-level hires.
What visa types realistically apply to lead data engineer roles in Missouri?
The H-1B is the most common path, as lead data engineer roles qualify as specialty occupations requiring a directly related bachelor's degree. Canadian and Mexican nationals can pursue TN visa status under the USMCA Engineer category with the appropriate engineering or computer science degree. For those already on F-1 OPT or STEM OPT, the role's STEM degree alignment makes extension feasible. EB-2 and EB-3 green card sponsorship is also common at larger Missouri employers.
How to find lead data engineer visa sponsorship jobs in Missouri?
Migrate Mate is the most direct way to find lead data engineer visa sponsorship jobs in Missouri, as it surfaces employers with verified sponsorship filing history specific to this role and state. Filtering by Missouri and the data engineering category shows which St. Louis and Kansas City companies have actively sponsored similar positions, saving time compared to researching each employer's history individually.
Which Missouri cities have the most lead data engineer sponsorship jobs?
St. Louis leads in volume, driven by its concentration of health tech, financial services, and technology consulting firms with mature immigration programs. Kansas City is a strong secondary market, particularly around the Oracle Health campus and the city's expanding fintech sector. Columbia sees occasional openings tied to University of Missouri-affiliated research and state government technology initiatives, though sponsorship there is less frequent.
Are there state-specific factors that affect lead data engineer sponsorship hiring in Missouri?
Missouri's health technology sector, anchored by the Cerner-to-Oracle Health transition in Kansas City, has created a pipeline of data engineering roles that routinely require sponsorship for international talent. St. Louis benefits from Washington University's graduate programs in computer science and data science, which feed local employer pipelines. Missouri has no state-level immigration restrictions affecting private employers, so federal visa rules govern sponsorship decisions entirely.
What is the prevailing wage for sponsored lead data 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.