Cloud Data Engineer Jobs in USA with Visa Sponsorship
Cloud Data Engineers are among the most consistently sponsored roles in tech. Employers regularly file H-1B visa and E-3 visa petitions for this position, and the specialty occupation classification is well-established for roles requiring a degree in computer science, information systems, or a related field. For detailed occupation requirements, see the O*NET profile.
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Fueled by a fundamental belief in innovation, Resurgent Capital Services is an industry-leading financial services company in our sector. It all began 25 years ago when a small group of successful entrepreneurs had a vision for a new type of asset receivables company. One with a commitment to superior service and a personal touch with every interaction. We believe that demonstrating integrity in everything we do, maintaining a strong commitment to compliance, and doing things the right way is a sustainable business model. We want you to feel like your work has an impact and makes a difference every day. Join us as we develop strategies for change and transform the trajectory of your career!
Summary
As a Cloud Data Engineer, you will be a key architect of our data ecosystem. You’ll own the full software development lifecycle—from initial design and coding to integration testing and deployment. In this role, you aren’t just maintaining systems; you are building innovative data applications that empower our organization. We value autonomy and judgment, looking for a professional with 5+ years of experience who is ready to turn complex data challenges into high-performance production solutions. This position will report to the Vice President of Enterprise Data Engineering.
Roles & Responsibilities
- Architect Impact: Design and develop custom data warehouse solutions that serve as the backbone for executive leadership and data science teams, enabling high-stakes, data-driven decision-making.
- Collaborate Across Domains: Partner closely with business analysts, developers, and data scientists to build seamless, user-centric data solutions.
- Cloud-Scale ML and AI Delivery: Transform data science prototypes into scalable, reliable production ML and AI solutions.
- Optimize Performance: Fine-tune and productionize data integration pipelines to ensure maximum efficiency and reliability.
- Build Resilient Systems: Develop proactive "smoke detector" monitoring tools to track and maintain the health of our data ecosystem.
- Lead Project Strategy: Take ownership of work estimates, technical roadmaps, and implementation plans.
- Stay Ahead of the Curve: Research and integrate emerging technologies, products, and development processes to keep our stack competitive.
- Agile Teamwork: Thrive in an agile environment, following best practices and clean coding standards.
- Invest in Growth: Actively grow your personal technical skillset while mentoring others to elevate the entire team.
Skills & Qualifications
- Experience: 5+ years of hands-on experience in data engineering.
- SQL Mastery: Strong experience designing data warehouse solutions with expert-level SQL knowledge.
- Data Architecture: Deep understanding of databases, data structures, and complex data manipulation.
- Pipeline Engineering: Proven ability to create sophisticated data models and end-to-end pipelines for data acquisition, cleansing, and integration.
- The Tech Stack: Deep experience with Microsoft SQL Server and proficiency with Databricks.
- Coding: Proficiency in C# and/or Python.
- Modern Infrastructure: Familiarity with distributed architecture is a significant plus.
- Collaborative Mindset: A track record of success in team-oriented, collaborative environments.
- Communication: Strong interpersonal skills with a focus on delivering excellent support to internal customers.
- Problem Solver: Exceptional analytical skills and a passion for tackling complex technical puzzles.
- Full Lifecycle Knowledge: Comprehensive understanding of the SDLC, including source control and lifecycle management tools.
Additional Preferred Skills
- Azure Ecosystem: Experience with Azure Analytics, Databases, Storage, and AI/Machine Learning services.
- ETL Tools: Experience with SSIS or equivalent enterprise ETL tools.
- Statistical Languages: Familiarity with R.
Educational Requirements
- 4-year degree required
Resurgent is an Equal Opportunity employer that is fueled by our diverse and inclusive work environment. Are you excited about this opportunity, but your skills and experience aren't an exact match? We encourage you to apply anyway! You may be just the person we are searching for to fill this or another position. We would love to consider you for the Resurgent team!
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
About us
Fueled by a fundamental belief in innovation, Resurgent Capital Services is an industry-leading financial services company in our sector. It all began 25 years ago when a small group of successful entrepreneurs had a vision for a new type of asset receivables company. One with a commitment to superior service and a personal touch with every interaction. We believe that demonstrating integrity in everything we do, maintaining a strong commitment to compliance, and doing things the right way is a sustainable business model. We want you to feel like your work has an impact and makes a difference every day. Join us as we develop strategies for change and transform the trajectory of your career!
Summary
As a Cloud Data Engineer, you will be a key architect of our data ecosystem. You’ll own the full software development lifecycle—from initial design and coding to integration testing and deployment. In this role, you aren’t just maintaining systems; you are building innovative data applications that empower our organization. We value autonomy and judgment, looking for a professional with 5+ years of experience who is ready to turn complex data challenges into high-performance production solutions. This position will report to the Vice President of Enterprise Data Engineering.
Roles & Responsibilities
- Architect Impact: Design and develop custom data warehouse solutions that serve as the backbone for executive leadership and data science teams, enabling high-stakes, data-driven decision-making.
- Collaborate Across Domains: Partner closely with business analysts, developers, and data scientists to build seamless, user-centric data solutions.
- Cloud-Scale ML and AI Delivery: Transform data science prototypes into scalable, reliable production ML and AI solutions.
- Optimize Performance: Fine-tune and productionize data integration pipelines to ensure maximum efficiency and reliability.
- Build Resilient Systems: Develop proactive "smoke detector" monitoring tools to track and maintain the health of our data ecosystem.
- Lead Project Strategy: Take ownership of work estimates, technical roadmaps, and implementation plans.
- Stay Ahead of the Curve: Research and integrate emerging technologies, products, and development processes to keep our stack competitive.
- Agile Teamwork: Thrive in an agile environment, following best practices and clean coding standards.
- Invest in Growth: Actively grow your personal technical skillset while mentoring others to elevate the entire team.
Skills & Qualifications
- Experience: 5+ years of hands-on experience in data engineering.
- SQL Mastery: Strong experience designing data warehouse solutions with expert-level SQL knowledge.
- Data Architecture: Deep understanding of databases, data structures, and complex data manipulation.
- Pipeline Engineering: Proven ability to create sophisticated data models and end-to-end pipelines for data acquisition, cleansing, and integration.
- The Tech Stack: Deep experience with Microsoft SQL Server and proficiency with Databricks.
- Coding: Proficiency in C# and/or Python.
- Modern Infrastructure: Familiarity with distributed architecture is a significant plus.
- Collaborative Mindset: A track record of success in team-oriented, collaborative environments.
- Communication: Strong interpersonal skills with a focus on delivering excellent support to internal customers.
- Problem Solver: Exceptional analytical skills and a passion for tackling complex technical puzzles.
- Full Lifecycle Knowledge: Comprehensive understanding of the SDLC, including source control and lifecycle management tools.
Additional Preferred Skills
- Azure Ecosystem: Experience with Azure Analytics, Databases, Storage, and AI/Machine Learning services.
- ETL Tools: Experience with SSIS or equivalent enterprise ETL tools.
- Statistical Languages: Familiarity with R.
Educational Requirements
- 4-year degree required
Resurgent is an Equal Opportunity employer that is fueled by our diverse and inclusive work environment. Are you excited about this opportunity, but your skills and experience aren't an exact match? We encourage you to apply anyway! You may be just the person we are searching for to fill this or another position. We would love to consider you for the Resurgent team!
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
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Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Data Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Cloud Data Engineer
Target companies with active LCA filings
Employers who have filed Labor Condition Applications for Cloud Data Engineer roles in the past two years are far more likely to sponsor again. This filing history signals an established immigration process and reduces the risk of a flat refusal.
Align your degree field to the role
H-1B specialty occupation approval depends on your degree matching the position. Computer science, information systems, data engineering, and applied mathematics all support a strong case. A degree in an unrelated field creates unnecessary risk at adjudication.
Emphasize cloud platform certifications
AWS, Azure, and Google Cloud certifications signal specialized knowledge that immigration attorneys use to strengthen specialty occupation arguments. They also differentiate you from candidates without formal credentials in the specific cloud stack the employer uses.
Prioritize large employers and cloud-native companies
Large technology firms and cloud-native companies sponsor visa petitions routinely and have dedicated immigration teams. The process moves faster, the legal support is already in place, and the likelihood of a petition being filed correctly is significantly higher.
Apply before the H-1B registration window opens in March
H-1B registrations open in early March each year. Securing an offer before then gives your employer time to register you in the lottery. Missing the window means waiting a full year, so early applications are strategically important for this visa pathway.
Highlight distributed systems and pipeline architecture experience
Specialty occupation approvals for data engineering roles are strengthened when the job description requires advanced technical judgment, not just execution. Experience designing data pipelines and distributed systems demonstrates the complexity that supports a qualifying specialty occupation determination.
Cloud Data Engineer jobs are hiring across the US. Find yours.
Find Cloud Data Engineer JobsFrequently Asked Questions
Is Cloud Data Engineer a qualifying specialty occupation for H-1B purposes?
Yes, in most cases. USCIS consistently approves Cloud Data Engineer roles as specialty occupations when the position requires a bachelor's degree or higher in computer science, information systems, data engineering, or a closely related field. Roles where the job description accepts any degree regardless of field face higher denial risk, so the specificity of the employer's requirements matters considerably.
Which visa types do Cloud Data Engineers most commonly use for U.S. work authorization?
The H-1B is the most common pathway for non-Australian nationals. Australian citizens can use the E-3 visa, which has no lottery, a dedicated annual allocation of 10,500 slots that has never been exhausted, and the same two-year renewable structure. Canadian and Mexican nationals with qualifying degrees may also be eligible under the TN visa category for computer systems analysts, which can cover data engineering roles depending on job duties.
Does a three-year bachelor's degree qualify for H-1B sponsorship as a Cloud Data Engineer?
It can, but it requires evaluation. USCIS considers a three-year degree from India, Australia, or the UK equivalent to a U.S. bachelor's degree only when supported by a credential evaluation from a recognized organization confirming the degree is equivalent to a U.S. four-year bachelor's. Without that evaluation, USCIS may determine the degree doesn't meet the specialty occupation threshold and deny the petition.
How competitive is H-1B sponsorship for Cloud Data Engineers compared to other tech roles?
Cloud Data Engineers are in a favorable position relative to generalist roles. The position is well-recognized in USCIS adjudications, and employers in this space tend to have experienced immigration counsel. Approval rates for properly documented specialty occupation petitions in software and data engineering have historically exceeded 85%. The main risk factor is a poorly drafted job description that understates the technical requirements of the role.
Where can I find Cloud Data Engineer jobs that offer visa sponsorship?
Migrate Mate lists Cloud Data Engineer roles specifically filtered for visa sponsorship, so every job on the platform has been reviewed for sponsorship eligibility. This removes the need to screen hundreds of listings manually for immigration support. Filtering by role on Migrate Mate gives you a direct view of which employers are actively hiring and willing to file petitions.
What is the prevailing wage requirement for sponsored Cloud Data Engineer jobs?
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.
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