Big Data Engineer Visa Sponsorship Jobs in Arizona
Big data engineer visa sponsorship jobs in Arizona are concentrated in Phoenix and Scottsdale, where employers like Intel, Amazon, Banner Health, and Honeywell run large engineering and analytics operations. The state's growing tech corridor and healthcare data sector create steady demand for data pipeline, Hadoop, and Spark expertise from internationally sponsored candidates.
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We are seeking an experienced and driven Senior Data & AI Engineer to lead our core data infrastructure, advanced analytics, and AI/ML initiatives. In this role, you will design, build, and scale robust data pipelines, integrate complex healthcare datasets (such as CMS, claims/encounters, and FHIR/HL7), and implement machine learning models while ensuring strict HIPAA compliance and data security. You will collaborate closely with cross-functional teams to translate complex data requirements into scalable production solutions.
Minimum Qualifications
- 8+ years in data engineering/analytics; 5+ years hands-on with Snowflake (compute, storage, virtual warehouses, tasks, streams, Snowpipe, Time Travel, RBAC, row/column masking, data sharing, Dynamic Tables).
- 2+ years with Microsoft Fabric (including OneLake, Lakehouses, Warehouses, Dataflows Gen2, Notebooks, Pipelines; capacity management).
- Strong data modeling expertise (dimensional/star, 3NF, data vault; surrogate keys, SCD types, conformed dimensions).
- Data integration & transformation proficiency: SQL (advanced), dbt or Fabric Dataflows/Power Query M, ADF/Synapse/Fabric Pipelines, Python for ETL/ELT.
- Mapping from CMS data (e.g., Medicare datasets, claims/encounters), X12/EDI, FHIR/HL7, provider, and eligibility.
- Experience with structured (tables, CSV, Parquet) and unstructured (clinical notes, PDFs, blobs) data; NLP pipelines (optional but valued).
- Machine learning: feature engineering, model training/evaluation, and deployment (e.g., scikit-learn, PyTorch/TensorFlow, Fabric ML/Notebook, Azure ML); production monitoring.
- Security & compliance: HIPAA, PHI handling, auditing, data residency, BAAs; practical access control in Snowflake/Fabric.
- Strong communication; ability to author mapping specs, lineage docs, and present trade-offs to technical and non-technical stakeholders.
About the Role
We are seeking an experienced and driven Senior Data & AI Engineer to lead our core data infrastructure, advanced analytics, and AI/ML initiatives. In this role, you will design, build, and scale robust data pipelines, integrate complex healthcare datasets (such as CMS, claims/encounters, and FHIR/HL7), and implement machine learning models while ensuring strict HIPAA compliance and data security. You will collaborate closely with cross-functional teams to translate complex data requirements into scalable production solutions.
Minimum Qualifications
- 8+ years in data engineering/analytics; 5+ years hands-on with Snowflake (compute, storage, virtual warehouses, tasks, streams, Snowpipe, Time Travel, RBAC, row/column masking, data sharing, Dynamic Tables).
- 2+ years with Microsoft Fabric (including OneLake, Lakehouses, Warehouses, Dataflows Gen2, Notebooks, Pipelines; capacity management).
- Strong data modeling expertise (dimensional/star, 3NF, data vault; surrogate keys, SCD types, conformed dimensions).
- Data integration & transformation proficiency: SQL (advanced), dbt or Fabric Dataflows/Power Query M, ADF/Synapse/Fabric Pipelines, Python for ETL/ELT.
- Mapping from CMS data (e.g., Medicare datasets, claims/encounters), X12/EDI, FHIR/HL7, provider, and eligibility.
- Experience with structured (tables, CSV, Parquet) and unstructured (clinical notes, PDFs, blobs) data; NLP pipelines (optional but valued).
- Machine learning: feature engineering, model training/evaluation, and deployment (e.g., scikit-learn, PyTorch/TensorFlow, Fabric ML/Notebook, Azure ML); production monitoring.
- Security & compliance: HIPAA, PHI handling, auditing, data residency, BAAs; practical access control in Snowflake/Fabric.
- Strong communication; ability to author mapping specs, lineage docs, and present trade-offs to technical and non-technical stakeholders.
Big Data Engineer Job Roles in Arizona
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Search Big Data Engineer Jobs in ArizonaBig Data Engineer Jobs in Arizona: Frequently Asked Questions
Which companies in Arizona sponsor visas for big data engineers?
Arizona's most active visa sponsors for big data engineering roles include Intel, which runs major semiconductor and data operations in Chandler, along with Amazon, Honeywell, Banner Health, and American Express in the Phoenix metro. Smaller but active sponsors include Axon, GoDaddy, and PayPal, all of which have filed Labor Condition Applications for data engineering positions in recent years.
Which visa types realistically fit big data engineer roles in Arizona?
Big data engineer roles qualify as specialty occupations requiring at least a bachelor's degree in computer science, information systems, or a related field, making H-1B visa, H-1B1 visa (for Chilean and Singaporean nationals), and E-3 visa (for Australian nationals) the primary pathways. Canadian and Mexican nationals holding an engineering degree may qualify under TN visa status as engineers. F-1 students can use OPT or STEM OPT if their degree is STEM-designated, and EB-2 or EB-3 green card sponsorship is common at large Arizona employers.
Which cities in Arizona have the most big data engineer sponsorship jobs?
Phoenix dominates Arizona's big data engineering market, home to the headquarters and major offices of American Express, Avnet, and a large Amazon fulfillment and tech hub. Scottsdale hosts financial services firms and health-tech startups with active data teams. Chandler is Intel's primary Arizona campus and a consistent source of sponsored data engineering roles. Tempe, adjacent to Arizona State University, also sees sponsorship activity driven by fintech and cloud-services companies.
How to find big data engineer visa sponsorship jobs in Arizona?
Migrate Mate lists big data engineer roles at Arizona employers with verified visa sponsorship history, searchable by city and technology stack. Filtering to Phoenix, Scottsdale, and Chandler surfaces the highest concentration of active sponsors. Because sponsorship history is verified through DOL Labor Condition Application filings, every employer shown on Migrate Mate has a documented record of sponsoring roles comparable to big data engineering.
Are there any Arizona-specific factors that affect big data engineer visa sponsorship?
Arizona State University and the University of Arizona produce a large pipeline of data science and computer engineering graduates, which keeps competition strong for entry-level sponsored roles. The state's healthcare sector, anchored by Banner Health, Dignity Health, and UnitedHealth Group's Arizona operations, generates consistent demand for big data engineers working on clinical and insurance data platforms, often sponsoring H-1B candidates with healthcare analytics backgrounds specifically.
What is the prevailing wage for sponsored big 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.