Data Engineer Visa Sponsorship Jobs in Arizona
Arizona's data engineering market is concentrated in Phoenix and Tempe, where companies like Intel, Banner Health, American Express, and Axway regularly hire for pipeline and platform roles. The state's growing fintech and healthcare data sectors, combined with a strong university talent pipeline from Arizona State University, make it an active market for international data engineers seeking visa sponsorship.
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Get Access To All JobsINTRODUCTION
We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while contributing to the continued evolution of our data architecture and analytics platform.
The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with business stakeholders to understand requirements, develop data integration solutions, and support reporting and analytics initiatives. As our data platform continues to evolve, this role will have the opportunity to contribute to architectural decisions and gain experience with emerging technologies including Microsoft Fabric, Databricks, Snowflake, and AI-enabled development tools. This is a full-time, in-office position.
Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python.
- Develop SQL queries, stored procedures, views, and database objects to support enterprise reporting and analytics.
- Build and maintain reliable data integrations from internal and external data sources.
- Partner with business users to gather requirements and translate business needs into technical solutions.
- Support the design and enhancement of enterprise data models and data architecture.
- Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.
- Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes.
- Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
- Contribute to data quality, governance, documentation, and engineering standards.
- Explore and leverage AI-assisted development tools to improve engineering productivity and solution quality.
- Continuously learn and evaluate emerging data platform technologies.
QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
- 3+ years of professional experience in data engineering or a related technical role.
- Strong experience with SQL, Microsoft SQL Server and T-SQL development.
- Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools.
- Experience programming with Python.
- Experience working within Azure cloud environments.
- Experience using Git and Azure DevOps or similar source control and CI/CD platforms.
- Working knowledge of Power BI datasets and data modeling concepts.
- Experience gathering business requirements and working directly with stakeholders.
- Strong analytical, communication, and problem-solving skills.
- Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub Copilot, ChatGPT, Codex, or similar technologies.
PREFERRED QUALIFICATIONS:
- Experience with Microsoft Fabric, Databricks, or Snowflake.
- Knowledge of enterprise data architecture and data modeling principles.
- Experience with Azure Data Lake Storage.
- Familiarity with dimensional modeling and data warehouse concepts.
- Experience integrating REST APIs and semi-structured data.
- Interest in AI, advanced analytics, and modern cloud data platforms.
WHY KIMLEY-HORN?:
At Kimley-Horn, we do things differently. People, clients, and employees are at the forefront of who we are. Clients know we prioritize achieving their goals and growing their success. Employees know our culture and approach to business are built on a desire to provide an environment for everyone to flourish. Our commitment to quality is only as good as the people behind it—that’s why we welcome and develop passionate, hardworking, and proactive employees. We take pride in how our employee retention, robust benefits package, and company values have led to Kimley-Horn’s placement on the Fortune “100 Best Companies to Work” list for 19 years!
KEY BENEFITS AT KIMLEY-HORN:
- Exceptional Retirement Plan: 2-to-1 company match on up to 4% of eligible compensation (salary + bonus) and additional profit-sharing contribution.
- Comprehensive Health Coverage: Low-cost medical, dental, and vision insurance options.
- Time Off: Personal leave, flexible scheduling, floating holidays, and half-day Fridays.
- Financial Wellness: Student loan matching in our 401(k), and performance-based bonuses.
- Professional Development: Tuition reimbursement and extensive internal training programs.
- Family-Friendly Benefits: New Parent Leave, family building benefits, and childcare resources.
INTRODUCTION
We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while contributing to the continued evolution of our data architecture and analytics platform.
The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with business stakeholders to understand requirements, develop data integration solutions, and support reporting and analytics initiatives. As our data platform continues to evolve, this role will have the opportunity to contribute to architectural decisions and gain experience with emerging technologies including Microsoft Fabric, Databricks, Snowflake, and AI-enabled development tools. This is a full-time, in-office position.
Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python.
- Develop SQL queries, stored procedures, views, and database objects to support enterprise reporting and analytics.
- Build and maintain reliable data integrations from internal and external data sources.
- Partner with business users to gather requirements and translate business needs into technical solutions.
- Support the design and enhancement of enterprise data models and data architecture.
- Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.
- Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes.
- Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
- Contribute to data quality, governance, documentation, and engineering standards.
- Explore and leverage AI-assisted development tools to improve engineering productivity and solution quality.
- Continuously learn and evaluate emerging data platform technologies.
QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
- 3+ years of professional experience in data engineering or a related technical role.
- Strong experience with SQL, Microsoft SQL Server and T-SQL development.
- Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools.
- Experience programming with Python.
- Experience working within Azure cloud environments.
- Experience using Git and Azure DevOps or similar source control and CI/CD platforms.
- Working knowledge of Power BI datasets and data modeling concepts.
- Experience gathering business requirements and working directly with stakeholders.
- Strong analytical, communication, and problem-solving skills.
- Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub Copilot, ChatGPT, Codex, or similar technologies.
PREFERRED QUALIFICATIONS:
- Experience with Microsoft Fabric, Databricks, or Snowflake.
- Knowledge of enterprise data architecture and data modeling principles.
- Experience with Azure Data Lake Storage.
- Familiarity with dimensional modeling and data warehouse concepts.
- Experience integrating REST APIs and semi-structured data.
- Interest in AI, advanced analytics, and modern cloud data platforms.
WHY KIMLEY-HORN?:
At Kimley-Horn, we do things differently. People, clients, and employees are at the forefront of who we are. Clients know we prioritize achieving their goals and growing their success. Employees know our culture and approach to business are built on a desire to provide an environment for everyone to flourish. Our commitment to quality is only as good as the people behind it—that’s why we welcome and develop passionate, hardworking, and proactive employees. We take pride in how our employee retention, robust benefits package, and company values have led to Kimley-Horn’s placement on the Fortune “100 Best Companies to Work” list for 19 years!
KEY BENEFITS AT KIMLEY-HORN:
- Exceptional Retirement Plan: 2-to-1 company match on up to 4% of eligible compensation (salary + bonus) and additional profit-sharing contribution.
- Comprehensive Health Coverage: Low-cost medical, dental, and vision insurance options.
- Time Off: Personal leave, flexible scheduling, floating holidays, and half-day Fridays.
- Financial Wellness: Student loan matching in our 401(k), and performance-based bonuses.
- Professional Development: Tuition reimbursement and extensive internal training programs.
- Family-Friendly Benefits: New Parent Leave, family building benefits, and childcare resources.
Data Engineer Job Roles in Arizona
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Search Data Engineer Jobs in ArizonaData Engineer Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for data engineers in Arizona?
Intel, American Express, Banner Health, Axway, and Honeywell are among the Arizona employers with documented H-1B visa sponsorship histories for data engineering roles. Cloud and data platform work at companies serving the fintech, semiconductor, and healthcare sectors drives much of this demand. Large enterprise employers in Phoenix and Chandler file the highest volume of data engineer petitions in the state.
Which visa types are most common for data engineer roles in Arizona?
The H-1B is the most common visa for data engineers in Arizona, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Candidates with Canadian or Mexican citizenship may also qualify under the TN visa. Australians can pursue the E-3 visa. All three require employer sponsorship and a qualifying job offer.
Which cities in Arizona have the most data engineer sponsorship jobs?
Phoenix accounts for the large majority of data engineer visa sponsorship activity in Arizona, with Tempe, Scottsdale, and Chandler also generating consistent openings. Tempe benefits from its proximity to Arizona State University and a cluster of tech and fintech offices. Tucson has a smaller but active market tied to the University of Arizona and defense-adjacent tech contractors.
How to find data engineer visa sponsorship jobs in Arizona?
Migrate Mate filters job listings specifically for roles where employers have sponsorship histories, saving you from applying to positions that won't consider visa candidates. For data engineer roles in Arizona, you can filter by state and role type to surface relevant openings at companies like Intel, American Express, and Banner Health. It's a practical starting point for international candidates who need confirmed sponsorship, not just open listings.
Are there any Arizona-specific factors data engineers should know about when seeking sponsorship?
The Department of Labor sets prevailing wage levels for data engineer roles that vary by metropolitan area. Phoenix-area prevailing wages for data engineering positions are benchmarked against the local labor market, which is generally lower than coastal tech hubs. Arizona State University produces a large volume of computer science and data science graduates, meaning competition for entry-level sponsorship roles can be significant. Employers in the semiconductor and healthcare sectors tend to have more established immigration support infrastructure.
What is the prevailing wage for sponsored data engineer jobs in Arizona?
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.