TN Visa Cloud Data Engineer Jobs
Cloud Data Engineer roles qualify for TN visa sponsorship under the USMCA treaty as Computer Systems Analyst positions, giving Canadian professionals cap-free access and Mexican nationals a defined annual allocation. Employers file your TN documentation directly, with no lottery and no multi-year wait.
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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 TN Visa Sponsorship as a Cloud Data Engineer
Target employers with recent visa filing experience
Employers with recent visa filings have demonstrated experience with work visa sponsorship processes. Prioritizing those employers increases the likelihood they understand visa requirements and can move quickly through internal approvals, reducing delays in your TN application.
Verify your degree field matches the role description
For Computer Systems Analyst classification, your bachelor's degree should be in computer science, engineering, or a directly related field. A business analytics or liberal arts degree paired with a cloud engineering role will draw CBP scrutiny at the border.
Request a detailed offer letter before your port of entry
Canadian nationals apply for TN status at the border, not at a consulate. Your offer letter must specify job duties, employer details, and the Computer Systems Analyst classification. CBP officers evaluate your entire TN case on the spot from that document.
Search for TN-sponsoring employers using Migrate Mate
Migrate Mate filters Cloud Data Engineer roles by employers who actively sponsor TN visas, saving you from applying to companies that don't have a sponsorship process in place. You can search by role and narrow to TN-eligible positions directly.
Confirm Mexican nationals' cap status before accepting an offer
Mexican TN professionals face an annual allocation, unlike Canadians. Confirm with your prospective employer that they've accounted for the cap cycle and have engaged a filing process that accounts for USCIS processing timelines before you give notice at your current job.
Cloud Data Engineer jobs are hiring across the US. Find yours.
Find Cloud Data Engineer JobsCloud Data Engineer TN Visa: Frequently Asked Questions
Does a Cloud Data Engineer role qualify for TN visa sponsorship?
Yes, but not under that exact job title. USCIS recognizes Computer Systems Analyst as the qualifying TN category that covers cloud data engineering work. Your employer's offer letter must describe your duties in terms that map to that classification. If the letter simply says 'Cloud Data Engineer' without explaining the analytical and systems work involved, a CBP officer can deny entry.
How does TN visa sponsorship compare to H-1B for Cloud Data Engineers?
TN has no annual lottery and no cap for Canadian citizens, which means you can start work as soon as your employer's documentation is approved at the border or by USCIS. H-1B requires entering a randomized lottery with roughly a 25 percent selection rate and a wait of six months or more before you can begin. For Mexican nationals, TN does have an annual allocation, but it's still processed faster than H-1B with no lottery requirement.
What does the employer actually have to file for a TN sponsorship?
Canadian nationals don't require a prior USCIS filing. The employer prepares a support letter detailing the job duties, your qualifications, and the Computer Systems Analyst classification, and you present it at a U.S. port of entry. Mexican nationals need a TN visa issued at a U.S. consulate, which requires USCIS to approve the petition first. Either way, the employer drives the document preparation.
Where can I find Cloud Data Engineer jobs with TN visa sponsorship?
Migrate Mate is built specifically for professionals on work visas, including TN. You can search Cloud Data Engineer roles filtered by employers who have TN sponsorship processes in place, rather than applying broadly and discovering a company won't sponsor after multiple interview rounds. Filtering by visa type at the start of your search saves significant time.
Can I switch Cloud Data Engineer employers on a TN visa without losing status?
Yes, but your TN authorization is employer-specific. You can't start work with a new employer until new TN documentation is secured. Canadian nationals can present a new support letter at the border for a new TN entry. Mexican nationals need a new USCIS petition and consular stamp. Working even a single day for a new employer before that process is complete puts you out of status.
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