Green Card Etl Developer Jobs
ETL Developer roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no qualified U.S. worker is available for the position. Most ETL Developer openings sit in the EB-3 skilled-worker category, though advanced-degree professionals with specialized data pipeline or warehousing credentials often qualify at the EB-2 level.
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Overview
Huntington Bank is seeking a Lead ETL Developer to join our Enterprise Data Warehouse (EDW) team. This role is responsible for leading the design, development, and optimization of scalable data pipelines and solutions that enable the business to leverage data as a strategic asset.
As a technical leader, you will partner across engineering, architecture, QA, and business teams to deliver high-quality, reliable data solutions. You will drive best practices across the SDLC, mentor team members, and help shape the future-state data ecosystem leveraging modern cloud technologies including AWS, Snowflake, and Python-based frameworks.
Key Responsibilities
- Technical Leadership & Delivery
- Lead the design, development, and maintenance of ETL/ELT pipelines in the EDW ecosystem
- Ensure alignment to enterprise data architecture, standards, and best practices
- Drive solution design from requirements and data mapping documents to scalable technical implementations
- Development & Engineering Excellence
- Build and optimize data pipelines using AWS Glue, Snowflake, Python/PySpark, and IBM DataStage
- Implement reusable, metadata-driven, and performance-optimized data integration patterns
- Enforce coding standards, version control, and CI/CD practices
- Data Quality, Testing & Observability
- Define and implement unit testing, regression testing, and data validation strategies
- Partner with QA to support system and integration testing efforts
- Troubleshoot and resolve data and pipeline issues across development, QA, and production environments
- Collaboration & Communication
- Work closely with Product Owners, BSAs, architects, and upstream/downstream teams to deliver end-to-end solutions
- Communicate progress, risks, and blockers clearly to stakeholders and leadership
- Support production operations, including incident triage and root cause analysis
- Continuous Improvement & Innovation
- Identify opportunities to improve performance, reliability, and scalability of data pipelines
- Contribute to modernization efforts (cloud migration, Snowflake optimization, automation)
- Stay current on industry trends and emerging technologies in data engineering
- People Leadership & Mentorship
- Mentor and coach junior and mid-level developers on technical skills and best practices
- Provide technical guidance and code reviews to ensure quality and consistency
- Lead development efforts on key initiatives and serve as a project-level technical lead
Basic Qualifications:
- Bachelor's Degree
- 5+ years of ETL/Data Engineering experience in enterprise data warehouse environments or an additional 4 years of related work experience may be considered in lieu of the Bachelor's Degree
- 5+ years of experience with SQL and Database development
- 5+ years of hands-on experience with Python/PySpark and ETL tools
- 3+ Years of experience with cloud-based data platforms
Preferred Qualifications
- Strong understanding of Data Warehousing Concepts, modeling, and SDLC methodologies
- Proven experience leading development teams or acting as a technical lead on large-scale data initiatives
- Experience with AWS services (Glue, S3, EC2) and Snowflake architecture optimization
- Knowledge of data pipeline observability, monitoring, and automated testing frameworks
- Experience defining future-state data architecture or modernization roadmaps
- Familiarity with CI/CD pipelines, DevOps practices, and version control systems
- Understanding of data governance, security, and regulatory considerations in financial services
- AWS Certifications (Solutions Architect, DevOps Engineer) preferred
- Prior experience in banking or financial services industry
What Success Looks Like in This Role
- Delivers reliable, scalable, and high-performing data pipelines
- Drives consistency in development standards and SDLC practices across the team
- Acts as a trusted technical partner across engineering and business stakeholders
- Elevates team capability through mentorship and structured guidance
- Actively contributes to modernization and innovation within the EDW platform
Exempt Status: Yes = not eligible for overtime pay (No = eligible for overtime pay)
Workplace Type:
Office
Our Approach to Office Workplace Type
Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.
Compensation Range:
The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).
Huntington is an Equal Opportunity Employer.
Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.
Description
Overview
Huntington Bank is seeking a Lead ETL Developer to join our Enterprise Data Warehouse (EDW) team. This role is responsible for leading the design, development, and optimization of scalable data pipelines and solutions that enable the business to leverage data as a strategic asset.
As a technical leader, you will partner across engineering, architecture, QA, and business teams to deliver high-quality, reliable data solutions. You will drive best practices across the SDLC, mentor team members, and help shape the future-state data ecosystem leveraging modern cloud technologies including AWS, Snowflake, and Python-based frameworks.
Key Responsibilities
- Technical Leadership & Delivery
- Lead the design, development, and maintenance of ETL/ELT pipelines in the EDW ecosystem
- Ensure alignment to enterprise data architecture, standards, and best practices
- Drive solution design from requirements and data mapping documents to scalable technical implementations
- Development & Engineering Excellence
- Build and optimize data pipelines using AWS Glue, Snowflake, Python/PySpark, and IBM DataStage
- Implement reusable, metadata-driven, and performance-optimized data integration patterns
- Enforce coding standards, version control, and CI/CD practices
- Data Quality, Testing & Observability
- Define and implement unit testing, regression testing, and data validation strategies
- Partner with QA to support system and integration testing efforts
- Troubleshoot and resolve data and pipeline issues across development, QA, and production environments
- Collaboration & Communication
- Work closely with Product Owners, BSAs, architects, and upstream/downstream teams to deliver end-to-end solutions
- Communicate progress, risks, and blockers clearly to stakeholders and leadership
- Support production operations, including incident triage and root cause analysis
- Continuous Improvement & Innovation
- Identify opportunities to improve performance, reliability, and scalability of data pipelines
- Contribute to modernization efforts (cloud migration, Snowflake optimization, automation)
- Stay current on industry trends and emerging technologies in data engineering
- People Leadership & Mentorship
- Mentor and coach junior and mid-level developers on technical skills and best practices
- Provide technical guidance and code reviews to ensure quality and consistency
- Lead development efforts on key initiatives and serve as a project-level technical lead
Basic Qualifications:
- Bachelor's Degree
- 5+ years of ETL/Data Engineering experience in enterprise data warehouse environments or an additional 4 years of related work experience may be considered in lieu of the Bachelor's Degree
- 5+ years of experience with SQL and Database development
- 5+ years of hands-on experience with Python/PySpark and ETL tools
- 3+ Years of experience with cloud-based data platforms
Preferred Qualifications
- Strong understanding of Data Warehousing Concepts, modeling, and SDLC methodologies
- Proven experience leading development teams or acting as a technical lead on large-scale data initiatives
- Experience with AWS services (Glue, S3, EC2) and Snowflake architecture optimization
- Knowledge of data pipeline observability, monitoring, and automated testing frameworks
- Experience defining future-state data architecture or modernization roadmaps
- Familiarity with CI/CD pipelines, DevOps practices, and version control systems
- Understanding of data governance, security, and regulatory considerations in financial services
- AWS Certifications (Solutions Architect, DevOps Engineer) preferred
- Prior experience in banking or financial services industry
What Success Looks Like in This Role
- Delivers reliable, scalable, and high-performing data pipelines
- Drives consistency in development standards and SDLC practices across the team
- Acts as a trusted technical partner across engineering and business stakeholders
- Elevates team capability through mentorship and structured guidance
- Actively contributes to modernization and innovation within the EDW platform
Exempt Status: Yes = not eligible for overtime pay (No = eligible for overtime pay)
Workplace Type:
Office
Our Approach to Office Workplace Type
Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.
Compensation Range:
The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).
Huntington is an Equal Opportunity Employer.
Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.
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Get Access To All JobsTips for Finding Green Card Sponsorship as an Etl Developer
Document your ETL specializations before applying
Gather evidence of your hands-on work with specific ETL tools like Informatica, Talend, or SSIS, plus any certifications. PERM requires proving your qualifications match the job description exactly, so mismatches between your resume and the posted role can delay or derail the labor certification.
Target employers with active PERM filing history
Focus your search on companies that have sponsored PERM certifications for data engineering roles before. Prior PERM activity signals an established internal process, a legal team familiar with ETL job duties, and less risk of the sponsorship falling through mid-process.
Search sponsored ETL roles using Migrate Mate
Use Migrate Mate to filter ETL Developer jobs by green card sponsorship history, so you're applying to roles where employers have already committed to the PERM process rather than cold-pitching sponsorship to companies unfamiliar with it.
Clarify the job description scope with your employer
The DOL reviews PERM applications for a precise job description. If your role blends ETL development with data analysis or DevOps tasks, work with your employer to define the primary duties accurately, since overly broad or misclassified descriptions draw audits.
Understand EB-2 versus EB-3 placement before your offer
Ask the sponsoring employer which category they plan to file under before accepting an offer. EB-2 requires a master's degree or demonstrated equivalent expertise in ETL architecture or data warehousing design; EB-3 covers bachelor's-level professionals. Your priority date and wait time depend on this choice.
Track your priority date against USCIS Visa Bulletin cutoffs
Once your I-140 is approved, monitor the USCIS Visa Bulletin monthly. For ETL Developers born in India or China, EB-3 backlogs can extend wait times significantly. Knowing your cutoff date early lets you plan status transitions like H-1B visa extensions or portability options.
Green Card Etl Developer: Frequently Asked Questions
Does an ETL Developer role qualify for EB-2 or EB-3 green card sponsorship?
ETL Developer positions most commonly qualify under EB-3, which covers skilled workers and professionals with a bachelor's degree in computer science, information systems, or a related field. If the role requires a master's degree or equivalent specialized experience in data architecture or pipeline design, the employer can file under EB-2 instead. Your employer's attorney determines the category based on the actual job requirements, not your highest degree alone.
How does green card sponsorship differ from H-1B for ETL Developer roles?
H-1B is a temporary status requiring renewal every three years and subject to the annual lottery. A green card through PERM and I-140 is permanent residency with no renewal and no cap concerns at the EB-3 level for most countries outside India and China. The PERM process takes longer upfront, typically one to two years before you can file to adjust status, but the outcome is lawful permanent residency rather than continued temporary authorization.
What does the PERM labor certification process involve for ETL Developer jobs?
PERM requires your employer to conduct a supervised recruitment process proving no qualified U.S. worker applied for the ETL Developer role. The DOL reviews the job description, posted wage, and recruitment documentation before certifying the application. The job duties and required qualifications in the PERM filing must match your actual role closely, which is why precise job descriptions matter before your employer files.
Where can I find ETL Developer jobs that include green card sponsorship?
Migrate Mate lets you search ETL Developer roles specifically filtered by green card sponsorship history, so you're not spending time on companies that have never filed PERM for data engineering positions. Targeting employers with an established PERM track record significantly reduces the risk of sponsorship falling through after you've accepted an offer.
Can my employer determine the prevailing wage for my ETL Developer role before filing?
Yes. Employers use the OFLC Wage Search to look up the DOL prevailing wage for ETL Developer positions by location and experience level before submitting a PERM application. The posted job must offer at least the prevailing wage for the role's SOC code and geographic area. You can also reference Bureau of Labor Statistics wage data to understand the range independently before negotiating your offer.