Data Engineer Jobs in USA with Visa Sponsorship
Data engineer roles carry strong sponsorship potential due to their technical depth in building and maintaining large-scale data pipelines, ETL systems, and cloud infrastructure. Employers view data engineers similarly to software engineers when evaluating sponsorship decisions, and proficiency in platforms like AWS, GCP, Snowflake, and Spark significantly strengthens candidacy. STEM degree holders benefit from the 36-month OPT extension while pursuing long-term H-1B sponsorship.
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Get Access To All JobsSr. Data Engineer
- 26000435
Position Qualification Summary:
The Senior Data Engineer will join the Americas IT software and architecture team. This business-centric IT team enables business-focused development of cutting-edge solutions and integrates global/regional IT initiatives into the business.
In this senior role, we are seeking an experienced Data Engineer with deep hands-on expertise in Apache Spark, Microsoft Fabric, and cloud-scale data architecture. You will lead the design of robust data pipelines, optimize large-scale data architectures, and drive data-driven decision-making across the organization.
The Senior Data Engineer is expected to work independently, collaborate with business and IT leaders, guide junior engineers, and architect solutions from the ground up based on complex business requirements.
Key Responsibilities:
- Design and Develop Enterprise Data Pipelines: Architect, build, and maintain scalable, distributed data pipelines leveraging Apache Spark and Microsoft Fabric to process large structured and unstructured datasets.
- Data Integration Leadership: Integrate data from diverse internal and external systems, ensuring reliability, lineage, and consistency across the enterprise.
- Performance Optimization: Lead optimization of ETL/ELT workloads for large-scale analytics, improving cost efficiency, throughput, and reliability.
- Data Quality & Governance: Define and implement standards for data quality, metadata management, cataloging, lineage, and governance compliance.
- Cross-Functional Collaboration: Partner with data scientists, analysts, architects, and IT teams to define requirements, deliver insights, and integrate analytical models.
- Documentation: Develop and maintain in-depth documentation for pipeline architectures, workflows, schemas, and operational processes.
- Continuous Innovation: Evaluate emerging technologies and introduce modern data engineering practices such as lakehouse patterns, delta formats, automation, and real-time processing.
- Troubleshooting & Reliability: Lead resolution of complex data pipeline failures, ensuring platform stability and enterprise-grade reliability.
- Security & Compliance: Enforce enterprise data security, privacy, and access governance policies.
Qualifications
Basic:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
- 7+ years of professional experience in data engineering, data architecture, or large-scale data platform development.
- Expertise in Apache Spark for large-scale batch and streaming workloads.
- Deep hands-on experience with Microsoft Fabric, including Data Engineering, Data Factory, Data Pipelines, and Lakehouse implementations.
- Advanced proficiency in SQL, Python, and/or Scala.
- Hands-on expertise with Microsoft Azure (preferred), AWS, or GCP cloud data services.
- Strong understanding of distributed systems, lakehouse patterns, and data modeling.
- Proven experience designing and optimizing complex ETL/ELT workflows.
- Strong communication skills, leadership capability, and technical mentorship experience.
Preferred:
- Professional certifications in Azure Data Engineering, Apache Spark, or Microsoft Fabric.
- Experience with real-time streaming technologies such as Kafka or Azure Event Hubs.
- Knowledge of DevOps practices including CI/CD, Infrastructure as Code, and automated testing.
- Experience with visualization tools such as Power BI or Tableau.
About Linde:
Linde is a leading global industrial gases and engineering company with 2025 sales of $34 billion. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain and protect our planet.
Culture:
At Linde, we strive to create a work environment that treats all employees with respect, supports new thoughts and ideas, encourages growth and development, celebrates our differences, and embraces inclusion. Linde is committed to remaining an employer of choice for the diverse, ever-increasing pool of global talent.
Salary:
Pay commensurate with experience. Open to salary range $108,225 - $158,730.
Benefits:
Linde Gases US offers competitive compensation and an outstanding benefits package. Enjoy access to health, dental, disability, and life insurance, paid holidays and vacation, 401(k) matching, pension benefits, an employee discount program, and opportunities for educational and professional growth. Additional compensation may vary depending on the position and organizational level. Build your future with us while making an impact every day!
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law.
Primary Location New York-TONAWANDA
Schedule Full-time
Job IT
Unposting Date Ongoing
How to Get Visa Sponsorship as a Data Engineer
Leverage data engineering's strong specialty occupation fit
Data engineering roles require deep knowledge of distributed systems, database architecture, and programming - a clear match for H-1B specialty occupation requirements. Job descriptions for this role rarely face the ambiguity challenges that more general analyst titles do.
Earn cloud data platform certifications
Snowflake SnowPro Core, Databricks Certified Data Engineer, and AWS Data Analytics Specialty certifications validate your expertise. They signal to employers that you can hit the ground running on their data stack.
Target companies building modern data platforms
Every company with significant data needs pipeline engineers. Snowflake, Databricks, dbt Labs, and Confluent are building the data tools themselves and sponsor H-1B petitions for engineers who understand the technology deeply.
Use STEM OPT to master your company's data stack
A STEM-eligible degree gives you up to 3 years of work authorization through OPT. Data pipelines are complex and company-specific - employers are more likely to sponsor someone who already knows their Airflow DAGs and Spark jobs.
Highlight the engineering depth of your role
Data engineering sits firmly on the software engineering side of the data spectrum. Emphasize skills in Spark, Airflow, dbt, and cloud infrastructure to distinguish your role from more general data positions when filing under SOC 15-1252.
Explore cap-exempt data infrastructure roles
University research computing teams and national labs process massive datasets and need data engineers to build the pipelines. These positions are H-1B cap-exempt - no lottery required and filing is open year-round.
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Get Access To All JobsFrequently Asked Questions
Is it easier to get visa sponsorship as a data engineer compared to a data scientist?
Data engineers and data scientists have comparable sponsorship strength, but the pathways differ slightly. Data engineer roles are closer to software engineering in scope, which gives them strong specialty occupation standing with USCIS. Data scientist roles often require advanced degrees, which provides an advantage through the H-1B master's cap exemption. Both are highly sponsorable, but data engineers may have an edge at companies with larger infrastructure needs.
Do cloud certifications like AWS or GCP help with H-1B approval for data engineers?
Cloud certifications do not directly affect H-1B approval, as the visa requires a bachelor's degree rather than certifications. However, they strengthen the overall petition by providing additional evidence that the role demands specialized technical knowledge. They also make you more competitive in the hiring process, which indirectly improves sponsorship chances by demonstrating alignment between your skills and the position's requirements.
Which industries sponsor data engineers most actively?
Technology companies are the largest sponsors, but financial services, healthcare, and e-commerce are close behind. Any company investing heavily in real-time analytics, data lakes, or ML infrastructure needs data engineers to build and maintain that foundation. Fintech companies and large banks are particularly active sponsors because their data pipelines are business-critical and require specialized expertise in distributed systems and regulatory data handling.
Do data engineers need a computer science degree specifically for visa sponsorship?
A computer science degree is the most common path, but degrees in information systems, software engineering, mathematics, or electrical engineering also qualify. The key is that the employer's job description lists your degree field among the qualifying fields for the position. USCIS evaluates whether your specific degree relates to the job duties, so a degree in statistics or applied math combined with strong technical experience in data pipeline development can work well.
What technical skills should I highlight in a data engineer visa petition?
Proficiency in SQL, Python, and distributed computing frameworks like Spark or Kafka are foundational. Experience with cloud data platforms (AWS Redshift, Google BigQuery, Snowflake) and data orchestration tools (Airflow, dbt, Dagster) demonstrates the specialized technical depth USCIS looks for. Listing these specific technologies in the petition documentation helps distinguish the role from general software development and strengthens the specialty occupation case.
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