Data Manager Visa Sponsorship Jobs in Arizona
Arizona's data manager job market is anchored by employers in healthcare, financial services, and technology, with major hiring activity in Phoenix and Scottsdale. Companies like Banner Health, Intel, and American Express have sponsored data management roles in the state. Arizona's growing tech corridor and university research partnerships make it an active market for international candidates 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 Manager Job Roles in Arizona
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Search Data Manager Jobs in ArizonaData Manager Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for data managers in Arizona?
Arizona employers with a track record of H-1B visa sponsorship for data management roles include Banner Health, Intel, American Express, Honeywell, and Freeport-McMoRan. Major consulting firms such as Accenture and Deloitte also place data managers at Arizona client sites under sponsored arrangements. Healthcare systems and semiconductor manufacturers in the Phoenix metro have been consistent sponsors for data-focused positions.
Which visa types are most common for data manager roles in Arizona?
The H-1B is the most common visa for data managers in Arizona, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, information systems, or a related field. L-1B transfers are also used when candidates move from a foreign affiliated office into an Arizona-based data management position. Candidates from Australia may qualify for the E-3 visa, while Canadian and Mexican nationals may use TN visa status under the USMCA.
Which cities in Arizona have the most data manager sponsorship jobs?
Phoenix accounts for the large majority of data manager sponsorship activity in Arizona, driven by its concentration of healthcare networks, financial institutions, and enterprise technology firms. Scottsdale and Tempe follow closely, particularly within fintech, insurance, and SaaS companies. Chandler is notable for semiconductor and manufacturing employers like Intel and Microchip Technology, which regularly hire data professionals in sponsored roles.
How to find data manager visa sponsorship jobs in Arizona?
Migrate Mate is built specifically for international candidates and filters data manager roles in Arizona by visa sponsorship eligibility, so you're not sorting through listings that don't apply to your situation. The platform aggregates roles from employers with a documented history of sponsoring data management positions across Phoenix, Scottsdale, and Chandler. Searching by role and state on Migrate Mate gives you a targeted shortlist rather than a general job feed.
Are there state-specific factors that affect visa sponsorship for data managers in Arizona?
Arizona's strong presence in healthcare IT and semiconductor manufacturing creates consistent demand for data managers with domain-specific expertise, which can strengthen a specialty occupation case for H-1B purposes. Arizona State University and the University of Arizona supply a pipeline of STEM graduates, meaning employers in the state are generally familiar with OPT and STEM OPT timelines. Prevailing wage requirements are set at the metropolitan level, so Phoenix and Tucson will reflect different wage tiers for the same data manager title.
What is the prevailing wage for sponsored data manager 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.