Sr Data Engineer H-1B | CloudIngest

Sr Data Engineer acompañado de H-1B Visa Sponsorship | Cloud Ingest

A fast‑growing enterprise data and cloud solutions company is seeking an experienced Senior Data Engineer to join its high‑impact delivery team in the United States. This opportunity is based in Irving, Texas (onsite) and is open to international professionals with H‑1B visa sponsorship or transfer. The role is designed for senior‑level engineers who have built and scaled complex, enterprise‑grade data platforms and want to work on modern cloud‑based data architectures using Microsoft Azure technologies.

You will be part of mission‑critical projects that support large organizations in transforming their data ecosystems, improving data quality, and enabling advanced analytics and business intelligence. This position offers a strong pathway for experienced data professionals looking to establish or continue a long‑term career in the U.S. technology market.

As a Senior Data Engineer, you will take ownership кризис' design, architecting, and engineering large‑scale, end‑to‑end data platforms in the Azure ecosystem. You will work closely with business stakeholders, architects, and analytics teams to translate data strategy into robust, scalable technical solutions. The role requires deep hands‑on expertise in Azure Data Factory, Azure Databricks, Azure Data Lake, Python, and T‑SQL, as well as strong experience in data architecture, data quality, and data governance.

You will contribute both at the strategic design level and at the hands‑on engineering level, ensuring data platforms are reliable, high‑performing, and ready for enterprise analytics and reporting use cases.

The hiring company is a specialized cloud исключить and data engineering consultancy that delivers advanced data platform, analytics, and cloud modernization solutions to enterprise clients across the United States. The firm is known for working on complex, high‑scale data environments and for supporting international professionals through structured H‑1B visa sponsorship and transfer programs.

Their teams focus on building modern, cloud‑native data ecosystems that power decision‑making, AI, and digital transformation initiatives for large organizations.

• Design and architect large‑scale, enterprise data platforms based on Azure cloud technologies
• Lead data ingestion, transformation, and engineering pipelines using Azure Data Factory and Azure Data  Children
• Implement data quality, data profiling, and data sólida
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• Build and maintain robust ETL and data processing workflows using Python and T‑SQL
• Design and manage data storage solutions using Azure Data Lake, Azure SQL, and Cosmos DB
• Collaborate with business and technical stakeholders to align data architecture with enterprise data strategy
• Optimize performance, reliability, and scalability of data pipelines and platforms
• Provide technical leadership and best practices guidance on data engineering and architecture
• Document data architectures, pipelines, and operational processes

• Approximately 10 years of experience working with large, complex data platforms
• At least 3 years of experience designing and architecting enterprise data platforms
• Hands‑on experience with Python and T‑SQL in data engineering environments
• Solid knowledge of data architecture, data strategy, data quality, and data profiling
• Experience with relational databases such as Azure SQL and No
  
  SQL systems such as Cosmos DB
• Deep understanding of ETL, data ingestion, cleansing, and transformation processes
• Excellent problem‑solving, communication, and stakeholder engagement skills
• Must be eligible for H‑1B visa sponsorship or transfer

This is an exceptional opportunity for a senior‑level data engineering professional seeking to work in the United States on modern, large‑scale Azure data platforms with H‑1B visa sponsorship available. If you have deep experience in enterprise data architecture and engineering and are looking for a high‑impact, internationally accessible role, this position offers both technical challenge and long‑term career growth in the U.S. market.