Construction E-3 Sponsorship Jobs in Missouri
Construction E-3 visa sponsorship jobs in Missouri concentrate in Kansas City and St. Louis, where large infrastructure projects and commercial development draw engineering and project management talent. Firms such as Burns & McDonnell and McCarthy Building Companies have histories of sponsoring skilled professionals. Australian engineers, structural designers, and construction managers with a relevant bachelor's degree will find the strongest opportunities here.
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Principal Data Engineer
Job Description Summary
The Principal Data Engineer at Cushman & Wakefield is a senior, high-impact technical leader responsible for solving complex data engineering challenges and shaping enterprise-wide data architecture within the TDS Technology and Data Solutions team. Reporting to the Global Head of Data Architecture & Engineering, this role combines deep hands-on expertise with strategic influence—designing and implementing scalable data solutions on Databricks and the Azure ecosystem, establishing engineering standards, and driving architectural best practices. The role embeds across teams to accelerate delivery, mitigate risks, and ensure high-quality outcomes, while also mentoring engineers, promoting technical excellence, and acting as a trusted advisor to translate business needs into effective data strategies.
Job Description
Position: Principal Data Engineer
Department: TDS Technology and Data Solutions
Reports To: Global Head of Data Architecture & Engineering
Location: Hybrid/Remote depending on location, Working time zone: US/EMEA
Cushman & Wakefield (NYSE: CWK) is a leading global commercial real estate services firm for property owners and occupiers with approximately 52,000 employees in nearly 400 offices and 60 countries. In 2023, the firm reported revenue of $9.5 billion across its core services of property, facilities and project management, leasing, capital markets, and valuation and other services. It also receives numerous industry and business accolades for its award-winning culture and commitment to Diversity, Equity and Inclusion (DEI), sustainability and more.
Career Level: P7
Role Summary:
We are seeking a Principal Data Engineer to serve as one of the most senior data engineers on our team and a near-expert practitioner in the domain. This role combines deep technical execution with broad influence: tackling the most complex data engineering problems, designing and implementing data architectures, and raising the bar for engineering excellence across the Data Organization.
Reporting to the Global Head of Data Architecture & Engineering, the Principal Data Engineer is expected to move fluidly across Data Engineering teams - embedding in projects for days or months at a time to unblock, accelerate, and uplift delivery. They will mentor engineers at every level, push standards for technical excellence, and help establish the engineering and architectural principles that guide our work. The primary platform is Databricks and the Azure cloud ecosystem, with the expectation of evaluating and adopting additional data technologies as the platform evolves.
Key Responsibilities:
Technical Data Engineering Execution
- Engineering delivery: Take on the most technically demanding data engineering work – high-scale pipelines, performance-critical workloads, workload optimization, and platform-level capabilities on Databricks and Azure – where deep expertise is essential to success.
- Engineering excellence: Write, review, and refactor production code that exemplifies the team’s standards for performance, reliability, security, observability, and cost efficiency.
- Standards and principles: Help define and continuously evolve the engineering and architectural principles, patterns, and reference implementations used across the Data Organization.
- Continuous learning: Maintain near-expert depth in Databricks and Azure data services and proactively build expertise in adjacent and emerging technologies on our roadmap.
Data Architecture
- Architecture design: Design end-to-end data architectures – covering ingestion, storage, transformation, serving, and governance – using Lakehouse patterns on Databricks and the Azure data ecosystem.
- Implementation ownership: Implement and validate critical components of the architectures you design, ensuring they are demonstrably production ready.
- Architectural alignment: Partner with the Architecture function to ensure designs align with enterprise standards for security, governance, scalability, and total cost of ownership.
People Mentorship
- Engineer development: Mentor data engineers across all levels through code reviews, pairing, design reviews, and direct coaching, with a particular focus on accelerating mid-level engineers toward senior contribution.
- Knowledge sharing: Lead internal tech talks and written deep dives on patterns, pitfalls, and platform capabilities to multiply the team’s expertise.
Project Leadership
- Cross-team embedment: Embed into Data Engineering teams for engagements ranging from days to months to lead, accelerate, or de-risk critical projects, transferring expertise back to the host team upon exit.
- Risk and quality oversight: Proactively identify technical risks, design flaws, and execution gaps, and drive issues to resolution with clear, well-reasoned recommendations.
Stakeholder Management
- Trusted technical advisor: Serve as the go-to technical voice for complex data problems and platform capabilities.
- Translation and influence: Translate business needs into clear technical strategies and translate technical trade-offs into language that supports informed decisions.
- Cross-functional partnership: Collaborate with peers in Architecture, Platform, AI, Analytics, Security, and Governance to ensure data engineering work integrates cleanly into the broader data and technology landscape.
Essential Skills, Knowledge & Experience:
- Extensive data engineering experience at increasing levels of seniority, with a clear track record of delivering production-grade data platforms and pipelines at scale.
- Near-expert hands-on proficiency with Databricks (Spark, Lakeflow, Spark Declarative Pipelines (DLT), Delta Lake, Lakebase/Postgres, Unity Catalog, etc.) and the Azure data ecosystem.
- Demonstratable experience designing and implementing end-to-end data architectures for complex, enterprise-scale environments.
- Proven ability to mentor engineers, lead through influence (without direct reports), and raise team-wide standards for technical excellence.
- Familiarity with modern data architecture patterns (Lakehouse, medallion, data mesh), DataOps practices, and metadata-driven and configuration-driven pipeline frameworks and a strong instinct for reusable, scalable engineering patterns.
Desirable Skills, Knowledge & Experience:
- Experience embedding across multiple teams, geographies and time zones as a senior technical contributor or technical lead.
- Familiarity with CI/CD and infrastructure-as-code tooling for data pipelines using Azure DevOps, Databricks Automation Bundles (DABS), GitHub Actions, or equivalent.
- Good understanding of data governance, metadata management, and cataloguing in enterprise environments.
This job description is intended to outline the primary responsibilities and requirements of the role. It is not exhaustive and may be subject to change in line with organisational needs.
We foster a culture of inclusion that embraces the unique strengths, perspectives, and experiences of all our employees. We firmly believe that our diversity enhances our team's capabilities, leading to improved decision-making, innovation, and business outcomes. If you have any reservations about applying, please don't hesitate to reach out to your local recruiter for additional information.
Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications.
The company will not pay less than minimum wage for this role.
The compensation for the position is: $157,250.00 - $185,000.00
Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.
Job Title
Principal Data Engineer
Job Description Summary
The Principal Data Engineer at Cushman & Wakefield is a senior, high-impact technical leader responsible for solving complex data engineering challenges and shaping enterprise-wide data architecture within the TDS Technology and Data Solutions team. Reporting to the Global Head of Data Architecture & Engineering, this role combines deep hands-on expertise with strategic influence—designing and implementing scalable data solutions on Databricks and the Azure ecosystem, establishing engineering standards, and driving architectural best practices. The role embeds across teams to accelerate delivery, mitigate risks, and ensure high-quality outcomes, while also mentoring engineers, promoting technical excellence, and acting as a trusted advisor to translate business needs into effective data strategies.
Job Description
Position: Principal Data Engineer
Department: TDS Technology and Data Solutions
Reports To: Global Head of Data Architecture & Engineering
Location: Hybrid/Remote depending on location, Working time zone: US/EMEA
Cushman & Wakefield (NYSE: CWK) is a leading global commercial real estate services firm for property owners and occupiers with approximately 52,000 employees in nearly 400 offices and 60 countries. In 2023, the firm reported revenue of $9.5 billion across its core services of property, facilities and project management, leasing, capital markets, and valuation and other services. It also receives numerous industry and business accolades for its award-winning culture and commitment to Diversity, Equity and Inclusion (DEI), sustainability and more.
Career Level: P7
Role Summary:
We are seeking a Principal Data Engineer to serve as one of the most senior data engineers on our team and a near-expert practitioner in the domain. This role combines deep technical execution with broad influence: tackling the most complex data engineering problems, designing and implementing data architectures, and raising the bar for engineering excellence across the Data Organization.
Reporting to the Global Head of Data Architecture & Engineering, the Principal Data Engineer is expected to move fluidly across Data Engineering teams - embedding in projects for days or months at a time to unblock, accelerate, and uplift delivery. They will mentor engineers at every level, push standards for technical excellence, and help establish the engineering and architectural principles that guide our work. The primary platform is Databricks and the Azure cloud ecosystem, with the expectation of evaluating and adopting additional data technologies as the platform evolves.
Key Responsibilities:
Technical Data Engineering Execution
- Engineering delivery: Take on the most technically demanding data engineering work – high-scale pipelines, performance-critical workloads, workload optimization, and platform-level capabilities on Databricks and Azure – where deep expertise is essential to success.
- Engineering excellence: Write, review, and refactor production code that exemplifies the team’s standards for performance, reliability, security, observability, and cost efficiency.
- Standards and principles: Help define and continuously evolve the engineering and architectural principles, patterns, and reference implementations used across the Data Organization.
- Continuous learning: Maintain near-expert depth in Databricks and Azure data services and proactively build expertise in adjacent and emerging technologies on our roadmap.
Data Architecture
- Architecture design: Design end-to-end data architectures – covering ingestion, storage, transformation, serving, and governance – using Lakehouse patterns on Databricks and the Azure data ecosystem.
- Implementation ownership: Implement and validate critical components of the architectures you design, ensuring they are demonstrably production ready.
- Architectural alignment: Partner with the Architecture function to ensure designs align with enterprise standards for security, governance, scalability, and total cost of ownership.
People Mentorship
- Engineer development: Mentor data engineers across all levels through code reviews, pairing, design reviews, and direct coaching, with a particular focus on accelerating mid-level engineers toward senior contribution.
- Knowledge sharing: Lead internal tech talks and written deep dives on patterns, pitfalls, and platform capabilities to multiply the team’s expertise.
Project Leadership
- Cross-team embedment: Embed into Data Engineering teams for engagements ranging from days to months to lead, accelerate, or de-risk critical projects, transferring expertise back to the host team upon exit.
- Risk and quality oversight: Proactively identify technical risks, design flaws, and execution gaps, and drive issues to resolution with clear, well-reasoned recommendations.
Stakeholder Management
- Trusted technical advisor: Serve as the go-to technical voice for complex data problems and platform capabilities.
- Translation and influence: Translate business needs into clear technical strategies and translate technical trade-offs into language that supports informed decisions.
- Cross-functional partnership: Collaborate with peers in Architecture, Platform, AI, Analytics, Security, and Governance to ensure data engineering work integrates cleanly into the broader data and technology landscape.
Essential Skills, Knowledge & Experience:
- Extensive data engineering experience at increasing levels of seniority, with a clear track record of delivering production-grade data platforms and pipelines at scale.
- Near-expert hands-on proficiency with Databricks (Spark, Lakeflow, Spark Declarative Pipelines (DLT), Delta Lake, Lakebase/Postgres, Unity Catalog, etc.) and the Azure data ecosystem.
- Demonstratable experience designing and implementing end-to-end data architectures for complex, enterprise-scale environments.
- Proven ability to mentor engineers, lead through influence (without direct reports), and raise team-wide standards for technical excellence.
- Familiarity with modern data architecture patterns (Lakehouse, medallion, data mesh), DataOps practices, and metadata-driven and configuration-driven pipeline frameworks and a strong instinct for reusable, scalable engineering patterns.
Desirable Skills, Knowledge & Experience:
- Experience embedding across multiple teams, geographies and time zones as a senior technical contributor or technical lead.
- Familiarity with CI/CD and infrastructure-as-code tooling for data pipelines using Azure DevOps, Databricks Automation Bundles (DABS), GitHub Actions, or equivalent.
- Good understanding of data governance, metadata management, and cataloguing in enterprise environments.
This job description is intended to outline the primary responsibilities and requirements of the role. It is not exhaustive and may be subject to change in line with organisational needs.
We foster a culture of inclusion that embraces the unique strengths, perspectives, and experiences of all our employees. We firmly believe that our diversity enhances our team's capabilities, leading to improved decision-making, innovation, and business outcomes. If you have any reservations about applying, please don't hesitate to reach out to your local recruiter for additional information.
Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications.
The company will not pay less than minimum wage for this role.
The compensation for the position is: $157,250.00 - $185,000.00
Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.
E-3 Construction Job Roles in Missouri
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Search Construction Jobs in MissouriConstruction E-3 Sponsorship Jobs in Missouri: Frequently Asked Questions
Which construction companies in Missouri sponsor E-3 visas?
Kansas City-based Burns & McDonnell, one of the largest engineering and construction firms in the country, has a consistent record of sponsoring specialty occupation roles. McCarthy Building Companies, headquartered in St. Louis, similarly sponsors qualified international professionals on project management and engineering tracks. Larger general contractors and civil engineering firms operating on Missouri Department of Transportation infrastructure contracts are also active sponsors, particularly for roles requiring a bachelor's degree in civil or structural engineering.
Which Missouri cities have the most construction E-3 sponsorship jobs?
Kansas City and St. Louis account for the majority of E-3-eligible construction roles in Missouri. Kansas City's ongoing urban redevelopment and its concentration of major engineering firms generate consistent demand for specialty occupation professionals. St. Louis sees steady activity driven by healthcare campus expansions, commercial real estate projects, and highway infrastructure work. Springfield and Columbia offer a smaller but growing share of opportunities, primarily tied to regional commercial construction and university-related building programs.
What types of construction roles typically qualify for E-3 sponsorship in Missouri?
Roles that qualify for E-3 sponsorship must meet the specialty occupation standard, requiring at least a bachelor's degree in a directly related field. In construction, that typically covers civil engineers, structural engineers, geotechnical engineers, construction project managers with engineering degrees, estimators with technical degrees, and building information modeling specialists. Supervisory or trade-level roles such as site foreman or equipment operator generally do not qualify because they don't require a specific bachelor's degree as an entry requirement.
How do I find construction E-3 sponsorship jobs in Missouri?
Migrate Mate lets you filter specifically for E-3-eligible construction roles in Missouri, showing employers with verified Labor Condition Application filing history so you can focus on companies that have already sponsored E-3 workers in your field. Beyond the platform, directly targeting firms with active DOL filings in civil engineering and construction management gives you a practical shortlist. Confirming that a role is classified as a specialty occupation before applying saves time and avoids employers unlikely to engage with the E-3 process.
Are there any Missouri-specific considerations for E-3 sponsorship in construction?
Missouri does not impose state-level licensing requirements on construction employers that affect E-3 eligibility, but professional engineers working in a licensed capacity must hold or be pursuing a Missouri Professional Engineer license. For roles where a PE stamp is required on deliverables, employers often factor in licensing timelines when assessing E-3 candidates. Missouri's right-to-work status and relatively competitive construction labor market mean that prevailing wage compliance under the LCA remains the primary employer obligation to verify before sponsorship proceeds.
What is the prevailing wage for E-3 construction 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.