TN Visa Data Engineer Jobs
Data Engineer roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category, making them one of the most accessible U.S. tech positions for Canadian and Mexican professionals. Your degree in computer science, information systems, or a related field is the key credential employers and CBP officers both expect to see.
See All Data Engineer JobsOverview
Showing 5 of 9,064+ Data Engineer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 9,064+ Data Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer roles.
Get Access To All JobsRole: Data Engineer
Preferred location - Omaha, NE - relocation workable Hybrid (Tuesday, Wednesday, Thursday in office)
Must Have Skills: Databricks, Snowflake, Pyspark (Hands-on experience in development)
Experience required: 6+ years
Job Details:
Minimum years of experience required: 5-8 years
Certification needed: Not mandatory
Must Have Skills: Databricks, Snowflake, Pyspark
Nice to Have Skills: IICS, Python
Detailed Job Description:
Skill Set: As a Senior Data Engineer, you will play a key role in leading the development, maintenance, and optimization of data pipelines and workflows within our Enterprise Data Platform. You’ll apply strong data engineering fundamentals along with software engineering and DevOps practices, so pipelines are built, deployed, and monitored as code. Your work will help ensure data accuracy, reliability, and accessibility, enabling teams across the organization to make informed decisions. This position offers an opportunity to lead technical solutions, mentor engineers, and collaborate with cross-functional teams to solve complex data challenges and create impactful solutions.
Key Responsibilities:
- Lead the design, development, and maintenance of scalable data pipelines that process and integrate data from multiple sources into the Enterprise Data Platform.
- Build pipelines and workflows as code using modern engineering practices (version control, code reviews, automated testing, reusable components).
- Define and implement patterns for CI/CD for data pipelines (automated builds, tests, deployments, and environment promotion).
- Partner with data scientists, analysts, and business teams to gather requirements and translate them into robust data solutions.
- Build and optimize SQL queries and transformations to support complex business use cases and analytics needs.
- Design and manage data models; validate them with business stakeholders, data architects, and governance partners.
- Establish data quality checks, validation, and troubleshooting practices to ensure accuracy, consistency, and trust in data products.
- Monitor and optimize pipeline performance and reliability; implement observability (logging/metrics/alerts) and contribute to operational runbooks.
- Drive automation to improve efficiency, reduce manual effort, and increase repeatability of platform operations.
- Provide technical leadership through mentoring, reviews, and guidance on best practices and standards.
- Participate in Agile ceremonies to plan, estimate, and deliver work efficiently.
- Create and maintain documentation for data workflows, transformations, standards, and operational procedures.
Technical Skills:
- Bachelor’s degree in computer science, Information Systems, or a related field (or equivalent experience).
- 5–8 years of experience in data engineering or a related role.
- Advanced proficiency in SQL for complex data transformation and analysis.
- Hands-on experience with cloud-based data platforms such as Databricks, Snowflake, or similar tools.
- Experience with ETL/ELT tools and frameworks (e.g., Informatica, Talend, dbt, or equivalent).
- Strong proficiency in Python and/or PySpark for data processing and pipeline development.
- Strong understanding of data modeling, database design principles, and building curated datasets for analytics and operational use cases.
- Experience with DevOps practices and Git-based development (branching strategies, pull requests, code reviews).
- Experience implementing CI/CD for data pipelines/workflows and managing deployments across environments.
- CPG Domain Knowledge will be a plus.
- Familiarity with orchestration and workflow tools (e.g., Databricks Workflows, Airflow, or similar) is preferred.
- Familiarity with Infrastructure as Code (e.g., Terraform, CloudFormation) and/or containerization concepts is a plus.
- Strong problem-solving skills, attention to detail, and ability to troubleshoot complex issues end-to-end.
- Excellent communication skills and ability to collaborate across technical and non-technical teams.
Role: Data Engineer
Preferred location - Omaha, NE - relocation workable Hybrid (Tuesday, Wednesday, Thursday in office)
Must Have Skills: Databricks, Snowflake, Pyspark (Hands-on experience in development)
Experience required: 6+ years
Job Details:
Minimum years of experience required: 5-8 years
Certification needed: Not mandatory
Must Have Skills: Databricks, Snowflake, Pyspark
Nice to Have Skills: IICS, Python
Detailed Job Description:
Skill Set: As a Senior Data Engineer, you will play a key role in leading the development, maintenance, and optimization of data pipelines and workflows within our Enterprise Data Platform. You’ll apply strong data engineering fundamentals along with software engineering and DevOps practices, so pipelines are built, deployed, and monitored as code. Your work will help ensure data accuracy, reliability, and accessibility, enabling teams across the organization to make informed decisions. This position offers an opportunity to lead technical solutions, mentor engineers, and collaborate with cross-functional teams to solve complex data challenges and create impactful solutions.
Key Responsibilities:
- Lead the design, development, and maintenance of scalable data pipelines that process and integrate data from multiple sources into the Enterprise Data Platform.
- Build pipelines and workflows as code using modern engineering practices (version control, code reviews, automated testing, reusable components).
- Define and implement patterns for CI/CD for data pipelines (automated builds, tests, deployments, and environment promotion).
- Partner with data scientists, analysts, and business teams to gather requirements and translate them into robust data solutions.
- Build and optimize SQL queries and transformations to support complex business use cases and analytics needs.
- Design and manage data models; validate them with business stakeholders, data architects, and governance partners.
- Establish data quality checks, validation, and troubleshooting practices to ensure accuracy, consistency, and trust in data products.
- Monitor and optimize pipeline performance and reliability; implement observability (logging/metrics/alerts) and contribute to operational runbooks.
- Drive automation to improve efficiency, reduce manual effort, and increase repeatability of platform operations.
- Provide technical leadership through mentoring, reviews, and guidance on best practices and standards.
- Participate in Agile ceremonies to plan, estimate, and deliver work efficiently.
- Create and maintain documentation for data workflows, transformations, standards, and operational procedures.
Technical Skills:
- Bachelor’s degree in computer science, Information Systems, or a related field (or equivalent experience).
- 5–8 years of experience in data engineering or a related role.
- Advanced proficiency in SQL for complex data transformation and analysis.
- Hands-on experience with cloud-based data platforms such as Databricks, Snowflake, or similar tools.
- Experience with ETL/ELT tools and frameworks (e.g., Informatica, Talend, dbt, or equivalent).
- Strong proficiency in Python and/or PySpark for data processing and pipeline development.
- Strong understanding of data modeling, database design principles, and building curated datasets for analytics and operational use cases.
- Experience with DevOps practices and Git-based development (branching strategies, pull requests, code reviews).
- Experience implementing CI/CD for data pipelines/workflows and managing deployments across environments.
- CPG Domain Knowledge will be a plus.
- Familiarity with orchestration and workflow tools (e.g., Databricks Workflows, Airflow, or similar) is preferred.
- Familiarity with Infrastructure as Code (e.g., Terraform, CloudFormation) and/or containerization concepts is a plus.
- Strong problem-solving skills, attention to detail, and ability to troubleshoot complex issues end-to-end.
- Excellent communication skills and ability to collaborate across technical and non-technical teams.
See all 9,064+ Data Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer roles.
Get Access To All JobsTips for Finding TN Visa Sponsorship as a Data Engineer
Align your credentials to the CSA category
TN classification for Data Engineers relies on the Computer Systems Analyst category. Your degree must be in computer science, information systems, or a directly related field. A general business or unrelated degree, even with strong data experience, can trigger a CBP denial at the border.
Build a support letter that frames pipelines as systems analysis
CBP officers aren't data engineers. Your employer's support letter needs to translate your role into language that matches the TN category: designing, analyzing, and implementing data systems. Vague job titles like 'data platform engineer' without that framing raise classification questions on the spot.
Target employers with recent visa filings
Search Migrate Mate's database to identify employers with recent visa filings in engineering and computer systems roles. These employers have experience sponsoring work visas and will be familiar with the support letter process required for TN status.
Use Migrate Mate to surface verified TN sponsoring employers
Migrate Mate filters job listings by employers with recent visa filings, so you aren't cold-applying to companies unfamiliar with visa sponsorship. Search specifically for Data Engineer and Computer Systems Analyst roles to reach employers experienced with supporting work visa candidates.
Prepare for port-of-entry adjudication as a Canadian
Canadian citizens apply directly at a U.S. land border or pre-clearance location without a separate visa stamp. Bring your offer letter, employer support letter, credential documents, and degree transcripts in one organized package. CBP officers make the final call on the spot.
Understand the Mexican TN allocation before you negotiate timelines
Mexico has an annual TN cap, unlike Canada, and the consular process adds weeks to your timeline. Confirm with your employer that they're prepared to file a DS-160 and schedule a consular interview, not just issue a support letter, before you accept an offer start date.
Data Engineer jobs are hiring across the US. Find yours.
Find Data Engineer JobsData Engineer TN Visa: Frequently Asked Questions
Does a Data Engineer role actually qualify for TN status?
Yes, Data Engineer positions qualify under the Computer Systems Analyst TN category, provided your role involves designing, analyzing, or implementing data systems and your degree is in computer science, information systems, or a closely related field. Roles focused purely on data entry or operations without systems design responsibilities are harder to support under this category.
How does TN compare to H-1B for Data Engineer positions?
TN has no lottery and no annual cap for Canadians, so you can start working as soon as CBP approves your application at the port of entry. H-1B requires surviving a random lottery with a roughly 25% selection rate. TN is also employer-transferable: when you switch jobs, you file a new TN rather than waiting for a cap-subject slot. The tradeoff is that TN is nonimmigrant by design, with no direct path to a green card built in.
Where can I find Data Engineer jobs that offer TN visa sponsorship?
Migrate Mate helps you find Data Engineer and Computer Systems Analyst roles at employers with recent visa filings, demonstrating experience with work visa sponsorship. These employers are often well-positioned to support visa-eligible candidates. Canadian applicants can present an employer support letter at the U.S. port of entry, while Mexican applicants apply through a U.S. consulate—no government filing is required for either path.
What documents does my employer need to provide for my TN application?
Your employer must provide a signed support letter on company letterhead that describes your job duties in terms of computer systems analysis, confirms you hold a qualifying degree, states your anticipated length of employment, and identifies you as a Canadian or Mexican citizen. The letter isn't filed with a government agency in advance for Canadian applicants; it's presented directly to CBP at the port of entry alongside your credentials.
Can I switch Data Engineer employers while on TN status?
Yes, but you must have a new TN approved before you start working for the new employer. TN status is employer-specific, so your current approval doesn't carry over. Canadian professionals can apply at the border with the new employer's support letter. Mexican nationals need to go through consular processing again. There's no grace period built into TN for the period between jobs the way some other statuses provide.
See which Data Engineer employers are hiring and sponsoring visas right now.
Search Data Engineer Jobs