Cloud Data Engineer Visa Sponsorship Jobs in Utah
Cloud data engineer visa sponsorship jobs in Utah are concentrated in the Salt Lake City metro, where companies like Adobe, Qualtrics, and Goldman Sachs have established major technology operations. The state's growing fintech and SaaS sectors, alongside a strong university pipeline from the University of Utah, create steady demand for skilled cloud data engineers seeking sponsorship.
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Get Access To All JobsJob Title: Data Architect
Location: New York City, NY, onsite (local candidates are a top priority)
Duration: 12+ months
Hours: 40 hours a week
We are seeking a highly experienced Senior Data Architect with strong hands-on expertise in data analytics, Databricks on AWS, PySpark, Python, SQL, and ETL tools such as Informatica. This is a senior leadership role requiring strong technical ownership, proactive risk and issue management, and excellent communication skills. The ideal candidate will have deep experience designing scalable, secure, and cost-efficient data solutions on AWS, migrating data assets from on-premises platforms to the cloud, and leveraging GenAI-driven automation to accelerate data modernization initiatives.
Key Responsibilities
- Design and implement scalable, secure, and cost-efficient data architecture solutions on AWS.
- Lead data migration initiatives from on-premises environments to AWS.
- Work hands-on with Databricks on AWS, PySpark, Python, and SQL to build data pipelines and analytical solutions.
- Develop data models and deliver data-driven insights to support business decision-making.
- Design and build PySpark applications to extract, transform, aggregate, and analyze large datasets.
- Support migration of data assets to the cloud using GenAI-enabled automation approaches.
- Work with large language models including pretraining, fine-tuning, augmentation, and optimization use cases where applicable.
- Identify, gather, and consolidate data from diverse sources including internal databases, spreadsheets, and enterprise systems.
- Apply data quality checks, cleaning processes, and transformations using Python, Pandas, and SQL.
- Automate repetitive data preparation and workflow tasks using scalable scripts and code-based practices.
- Collaborate with stakeholders to clarify requirements, challenge assumptions, and validate data quality.
- Document data workflows, coding standards, analytical methodologies, and best practices.
- Proactively identify, communicate, and manage project risks, issues, dependencies, and delivery blockers.
- Operate independently with minimal supervision while maintaining strong collaboration with business and technical teams.
Required Skills
- 15+ years of experience as a Data Architect, Data Engineer, Data Analyst, or related data-focused role.
- Hands-on experience with Databricks on AWS.
- Strong PySpark, Python, Pandas, SQL, and data analytics experience.
- Experience with ETL tools such as Informatica.
- Proven experience migrating data from on-premises platforms to AWS.
- Experience designing and implementing scalable, secure, and cost-efficient data solutions on AWS.
- Strong data modeling and database solution design experience.
- Experience developing PySpark applications for extraction, transformation, aggregation, and insight generation.
- Experience with GenAI-driven automation for cloud data migration or data modernization.
- Exposure to LLM pretraining, fine-tuning, augmentation, and optimization.
- Ability to automate data workflows and implement code-based best practices.
- Strong documentation, communication, stakeholder engagement, and requirement clarification skills.
Preferred Skills
- Experience with Python libraries such as Pandas, Scikit-learn, and Matplotlib.
- Experience working with multiple structured and semi-structured data formats.
- Strong understanding of data governance, data quality, and reproducibility practices.
- Experience in large enterprise data modernization programs.
- Bachelor's degree or higher in Computer Science, Data Engineering, Analytics, or a related field.
Behavioral Expectations
- Excellent communication skills with the ability to explain analytical findings to technical and non-technical stakeholders.
- Proactive approach to risk and issue management.
- Strong critical thinking and problem-solving ability.
- Ability to question assumptions, assess data quality, and recommend alternative approaches.
- Self-directed, resourceful, and comfortable managing priorities independently.
- Collaborative mindset with the ability to work closely with cross-functional teams.
Job Title: Data Architect
Location: New York City, NY, onsite (local candidates are a top priority)
Duration: 12+ months
Hours: 40 hours a week
We are seeking a highly experienced Senior Data Architect with strong hands-on expertise in data analytics, Databricks on AWS, PySpark, Python, SQL, and ETL tools such as Informatica. This is a senior leadership role requiring strong technical ownership, proactive risk and issue management, and excellent communication skills. The ideal candidate will have deep experience designing scalable, secure, and cost-efficient data solutions on AWS, migrating data assets from on-premises platforms to the cloud, and leveraging GenAI-driven automation to accelerate data modernization initiatives.
Key Responsibilities
- Design and implement scalable, secure, and cost-efficient data architecture solutions on AWS.
- Lead data migration initiatives from on-premises environments to AWS.
- Work hands-on with Databricks on AWS, PySpark, Python, and SQL to build data pipelines and analytical solutions.
- Develop data models and deliver data-driven insights to support business decision-making.
- Design and build PySpark applications to extract, transform, aggregate, and analyze large datasets.
- Support migration of data assets to the cloud using GenAI-enabled automation approaches.
- Work with large language models including pretraining, fine-tuning, augmentation, and optimization use cases where applicable.
- Identify, gather, and consolidate data from diverse sources including internal databases, spreadsheets, and enterprise systems.
- Apply data quality checks, cleaning processes, and transformations using Python, Pandas, and SQL.
- Automate repetitive data preparation and workflow tasks using scalable scripts and code-based practices.
- Collaborate with stakeholders to clarify requirements, challenge assumptions, and validate data quality.
- Document data workflows, coding standards, analytical methodologies, and best practices.
- Proactively identify, communicate, and manage project risks, issues, dependencies, and delivery blockers.
- Operate independently with minimal supervision while maintaining strong collaboration with business and technical teams.
Required Skills
- 15+ years of experience as a Data Architect, Data Engineer, Data Analyst, or related data-focused role.
- Hands-on experience with Databricks on AWS.
- Strong PySpark, Python, Pandas, SQL, and data analytics experience.
- Experience with ETL tools such as Informatica.
- Proven experience migrating data from on-premises platforms to AWS.
- Experience designing and implementing scalable, secure, and cost-efficient data solutions on AWS.
- Strong data modeling and database solution design experience.
- Experience developing PySpark applications for extraction, transformation, aggregation, and insight generation.
- Experience with GenAI-driven automation for cloud data migration or data modernization.
- Exposure to LLM pretraining, fine-tuning, augmentation, and optimization.
- Ability to automate data workflows and implement code-based best practices.
- Strong documentation, communication, stakeholder engagement, and requirement clarification skills.
Preferred Skills
- Experience with Python libraries such as Pandas, Scikit-learn, and Matplotlib.
- Experience working with multiple structured and semi-structured data formats.
- Strong understanding of data governance, data quality, and reproducibility practices.
- Experience in large enterprise data modernization programs.
- Bachelor's degree or higher in Computer Science, Data Engineering, Analytics, or a related field.
Behavioral Expectations
- Excellent communication skills with the ability to explain analytical findings to technical and non-technical stakeholders.
- Proactive approach to risk and issue management.
- Strong critical thinking and problem-solving ability.
- Ability to question assumptions, assess data quality, and recommend alternative approaches.
- Self-directed, resourceful, and comfortable managing priorities independently.
- Collaborative mindset with the ability to work closely with cross-functional teams.
Cloud Data Engineer Job Roles in Utah
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Search Cloud Data Engineer Jobs in UtahCloud Data Engineer Jobs in Utah: Frequently Asked Questions
Which companies sponsor visas for cloud data engineers in Utah?
Adobe, Qualtrics, Goldman Sachs, Ancestry, and eBay have technology hubs in the Salt Lake City area and have sponsored H-1B visa workers in data and cloud engineering roles. Healthcare technology firms like Health Catalyst and Podium also hire in this space. Sponsorship availability changes with headcount, so confirming directly with each employer's recruiting team is the most reliable approach.
Which visa types are most common for cloud data engineer roles in Utah?
The H-1B is the most common visa category for cloud data engineers in Utah, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Employers may also sponsor L-1B transfers for engineers moving from an overseas office, and candidates with extraordinary ability may explore the O-1A category.
Which cities in Utah have the most cloud data engineer sponsorship jobs?
Salt Lake City and its surrounding suburbs, particularly Lehi and Sandy in the Silicon Slopes corridor, account for the large majority of cloud data engineer sponsorship opportunities in Utah. Provo also has a notable presence, driven by companies like Qualtrics and several SaaS startups. Outside this corridor, sponsorship opportunities are considerably more limited.
How to find cloud data engineer visa sponsorship jobs in Utah?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for cloud data engineer roles in Utah without sifting through positions that don't support international candidates. You can filter by location, role type, and sponsorship status to focus on employers actively hiring in the Salt Lake City metro and Silicon Slopes area.
Are there state-specific factors cloud data engineers should know before targeting Utah?
Utah's Silicon Slopes corridor has grown into one of the more active tech hiring markets outside major coastal cities, which means prevailing wage requirements under H-1B rules apply at levels that reflect local market rates rather than San Francisco or New York benchmarks. The University of Utah and Brigham Young University supply a strong domestic pipeline, so employers sponsoring visas typically do so for specialized cloud platform expertise that's harder to source locally.
What is the prevailing wage for sponsored cloud data engineer jobs in Utah?
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.