Cloud Data Engineer Visa Sponsorship Jobs in Arizona
Arizona's cloud data engineer job market centers on Phoenix and Scottsdale, where companies like Intel, Banner Health, and American Express run large-scale data infrastructure teams. The state's growing tech corridor and financial services sector generate consistent demand for cloud data engineers, and several employers in these industries have established visa sponsorship track records.
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Get Access To All JobsDescription: Optomi, in partnership with a leading financial services organization, is seeking a Senior Data Engineer to support enterprise data modernization and large-scale data pipeline initiatives across a growing cloud-based data ecosystem. This role will focus on building and optimizing ETL/ELT pipelines, improving data quality and usability, and supporting governance and secure data-sharing practices across enterprise platforms. The ideal candidate brings strong experience with SQL, Python, Azure cloud services, and modern data engineering frameworks, along with the ability to work cross-functionally with business stakeholders, product owners, and technical teams.
Responsibilities:
- Design, build, and optimize scalable ETL/ELT pipelines supporting enterprise data products and analytics initiatives
- Modernize and support Azure-based data ecosystems and cloud-native data workflows
- Develop and maintain SQL, Python, and PySpark-based data transformation pipelines
- Support data quality, governance, lineage, and secure data-sharing initiatives across enterprise platforms
- Develop and optimize large-scale batch and streaming data workflows
- Build and maintain data models, ingestion pipelines, and transformation frameworks
- Support metadata management, cataloging, and critical data element tracking processes
- Implement and support CI/CD automation and DevOps workflows for data engineering operations
- Collaborate with business and technical teams to gather requirements and deliver scalable data solutions
- Troubleshoot and optimize pipeline performance, scalability, and operational reliability
Qualifications:
- 7+ years of experience in data engineering, ETL development, or data warehousing
- Strong proficiency with SQL and Python
- Experience building and maintaining ETL/ELT pipelines in enterprise environments
- Hands-on experience with Azure cloud services such as ADF, Synapse, ADLS, or related technologies
- Strong data analysis, troubleshooting, and problem-solving skills
- Experience supporting CI/CD automation and DevOps workflows
- Understanding of data governance, data quality, lineage, and secure data practices
- Excellent communication and cross-functional collaboration skills
Preferred:
- Experience with Apache Spark, PySpark, or Databricks
- Exposure to Delta Lake, Unity Catalog, ADLS, or Azure Data Factory (ADF)
- Experience supporting enterprise data catalogs, governance frameworks, or metadata management initiatives
- Experience working within regulated enterprise environments such as financial services, healthcare, or insurance
- Familiarity with modern cloud data warehouses and lakehouse architectures
Description: Optomi, in partnership with a leading financial services organization, is seeking a Senior Data Engineer to support enterprise data modernization and large-scale data pipeline initiatives across a growing cloud-based data ecosystem. This role will focus on building and optimizing ETL/ELT pipelines, improving data quality and usability, and supporting governance and secure data-sharing practices across enterprise platforms. The ideal candidate brings strong experience with SQL, Python, Azure cloud services, and modern data engineering frameworks, along with the ability to work cross-functionally with business stakeholders, product owners, and technical teams.
Responsibilities:
- Design, build, and optimize scalable ETL/ELT pipelines supporting enterprise data products and analytics initiatives
- Modernize and support Azure-based data ecosystems and cloud-native data workflows
- Develop and maintain SQL, Python, and PySpark-based data transformation pipelines
- Support data quality, governance, lineage, and secure data-sharing initiatives across enterprise platforms
- Develop and optimize large-scale batch and streaming data workflows
- Build and maintain data models, ingestion pipelines, and transformation frameworks
- Support metadata management, cataloging, and critical data element tracking processes
- Implement and support CI/CD automation and DevOps workflows for data engineering operations
- Collaborate with business and technical teams to gather requirements and deliver scalable data solutions
- Troubleshoot and optimize pipeline performance, scalability, and operational reliability
Qualifications:
- 7+ years of experience in data engineering, ETL development, or data warehousing
- Strong proficiency with SQL and Python
- Experience building and maintaining ETL/ELT pipelines in enterprise environments
- Hands-on experience with Azure cloud services such as ADF, Synapse, ADLS, or related technologies
- Strong data analysis, troubleshooting, and problem-solving skills
- Experience supporting CI/CD automation and DevOps workflows
- Understanding of data governance, data quality, lineage, and secure data practices
- Excellent communication and cross-functional collaboration skills
Preferred:
- Experience with Apache Spark, PySpark, or Databricks
- Exposure to Delta Lake, Unity Catalog, ADLS, or Azure Data Factory (ADF)
- Experience supporting enterprise data catalogs, governance frameworks, or metadata management initiatives
- Experience working within regulated enterprise environments such as financial services, healthcare, or insurance
- Familiarity with modern cloud data warehouses and lakehouse architectures
Cloud Data Engineer Job Roles in Arizona
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Search Cloud Data Engineer Jobs in ArizonaCloud Data Engineer Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for cloud data engineers in Arizona?
Technology and financial services employers are among the most active sponsors for cloud data engineer roles in Arizona. Companies such as Intel, American Express, Infosys, Cognizant, and Banner Health have filed Labor Condition Applications for cloud and data engineering positions in the state. Consulting firms with Phoenix-area delivery centers also sponsor H-1B visa workers in this role category regularly.
Which visa types are most common for cloud data engineer roles in Arizona?
The H-1B is the most common visa for cloud 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. L-1B visas apply when engineers transfer from a foreign parent or subsidiary. Australians may also be eligible for the E-3 visa, which has no lottery and allows direct consular processing.
Which cities in Arizona have the most cloud data engineer sponsorship jobs?
Phoenix accounts for the large majority of cloud data engineer sponsorship activity in Arizona, driven by its concentration of enterprise technology, financial services, and healthcare employers. Scottsdale and Tempe also have notable hiring activity, particularly from fintech firms and technology consultancies. Chandler hosts Intel's largest U.S. campus, making it a meaningful secondary market for data infrastructure roles.
How to find cloud data engineer visa sponsorship jobs in Arizona?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse cloud data engineer roles in Arizona without manually screening each posting. The platform surfaces positions from employers with documented sponsorship history in this role category. Filtering by Arizona and the cloud data engineer job title on Migrate Mate gives you a focused list of relevant openings without the noise of unsponsored listings.
Are there any Arizona-specific factors cloud data engineers should know about visa sponsorship?
Arizona's prevailing wage requirements for H-1B cloud data engineer positions are calculated using Bureau of Labor Statistics data for the Phoenix-Mesa-Scottsdale metropolitan area, which sets the wage floor employers must meet or exceed in their Labor Condition Application. Arizona State University and the University of Arizona also feed engineering talent into local employers, meaning some companies have structured pipelines from OPT to sponsored status for graduates in data and cloud engineering disciplines.
What is the prevailing wage for sponsored cloud 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.