H-1B Visa Cloud Data Engineer Jobs
Cloud Data Engineer roles sit squarely within H-1B visa specialty occupation criteria, requiring a bachelor's degree or higher in computer science, data engineering, or a related field. Employers in cloud-heavy industries file LCAs with the DOL before sponsoring your H-1B, certifying that your offered wage meets the prevailing rate for your location and SOC code.
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Get Access To All JobsINTRODUCTION
We are seeking an experienced Senior Data Warehouse / ETL Technical Lead to support a large-scale enterprise data transformation initiative. This role is ideal for a seasoned data professional who combines strong technical expertise with the ability to coordinate, enable, and guide development teams across multiple workstreams. The successful candidate will play a key role in supporting a data warehouse migration from an on-premises environment to the cloud while helping drive data integration, documentation, quality, and technical leadership efforts.
ROLE AND RESPONSIBILITIES
- Create, update, and maintain data mapping documentation between legacy and target systems.
- Review code and provide technical feedback and guidance to development teams.
- Troubleshoot ETL failures, identify root causes, and recommend solutions.
- Support planning and coordination activities across multiple project workstreams.
- Assist with enterprise data warehouse migration efforts from on-premises platforms to cloud-based solutions.
- Collaborate with business and technical stakeholders to document requirements and ensure alignment with project objectives.
- Provide technical leadership and mentorship to data team members.
- Serve as a key resource for data integration, data quality, and data modeling initiatives.
BASIC QUALIFICATIONS
- Proven experience with ETL development and support.
- Strong hands-on experience with Informatica.
- Advanced SQL Server experience.
- Strong background in data modeling.
- Experience documenting business and technical requirements.
- Demonstrated experience mapping data across multiple systems.
- Proven technical leadership experience within a data-focused team.
- Strong troubleshooting and problem-solving skills.
- Excellent written and verbal communication skills.
- Exceptional attention to detail.
PREFERRED QUALIFICATIONS
- Experience with Informatica Intelligent Data Management Cloud (IDMC).
- Snowflake experience.
- Experience supporting financial services data environments.
- Experience within the automotive industry or automotive financial services sector.
CANDIDATE PROFILE
This position is best suited for a senior-level data professional who enjoys working across teams, solving complex data challenges, and enabling project success through technical leadership. While this role involves less hands-on development than a traditional ETL developer position, candidates must possess a strong technical foundation and be comfortable providing guidance, coordination, and support across multiple stakeholders and workstreams.
LOCATION
Location: Columbus, OH (Local Candidates Only)
WORK ARRANGEMENT
Work Arrangement: Hybrid (Candidates must be flexible to work onsite as needed)
DURATION
Duration: Long-Term Contract
Important: Candidates must currently reside in the Columbus, Ohio area and be local at the time of submission. Relocation candidates will not be considered.
INTRODUCTION
We are seeking an experienced Senior Data Warehouse / ETL Technical Lead to support a large-scale enterprise data transformation initiative. This role is ideal for a seasoned data professional who combines strong technical expertise with the ability to coordinate, enable, and guide development teams across multiple workstreams. The successful candidate will play a key role in supporting a data warehouse migration from an on-premises environment to the cloud while helping drive data integration, documentation, quality, and technical leadership efforts.
ROLE AND RESPONSIBILITIES
- Create, update, and maintain data mapping documentation between legacy and target systems.
- Review code and provide technical feedback and guidance to development teams.
- Troubleshoot ETL failures, identify root causes, and recommend solutions.
- Support planning and coordination activities across multiple project workstreams.
- Assist with enterprise data warehouse migration efforts from on-premises platforms to cloud-based solutions.
- Collaborate with business and technical stakeholders to document requirements and ensure alignment with project objectives.
- Provide technical leadership and mentorship to data team members.
- Serve as a key resource for data integration, data quality, and data modeling initiatives.
BASIC QUALIFICATIONS
- Proven experience with ETL development and support.
- Strong hands-on experience with Informatica.
- Advanced SQL Server experience.
- Strong background in data modeling.
- Experience documenting business and technical requirements.
- Demonstrated experience mapping data across multiple systems.
- Proven technical leadership experience within a data-focused team.
- Strong troubleshooting and problem-solving skills.
- Excellent written and verbal communication skills.
- Exceptional attention to detail.
PREFERRED QUALIFICATIONS
- Experience with Informatica Intelligent Data Management Cloud (IDMC).
- Snowflake experience.
- Experience supporting financial services data environments.
- Experience within the automotive industry or automotive financial services sector.
CANDIDATE PROFILE
This position is best suited for a senior-level data professional who enjoys working across teams, solving complex data challenges, and enabling project success through technical leadership. While this role involves less hands-on development than a traditional ETL developer position, candidates must possess a strong technical foundation and be comfortable providing guidance, coordination, and support across multiple stakeholders and workstreams.
LOCATION
Location: Columbus, OH (Local Candidates Only)
WORK ARRANGEMENT
Work Arrangement: Hybrid (Candidates must be flexible to work onsite as needed)
DURATION
Duration: Long-Term Contract
Important: Candidates must currently reside in the Columbus, Ohio area and be local at the time of submission. Relocation candidates will not be considered.
See all 4,036+ H-1B Visa Cloud Data Engineer Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Cloud Data Engineer
Map your degree to the SOC code
USCIS evaluates specialty occupation based on degree-to-role alignment. Cloud Data Engineer roles typically fall under SOC 15-1243. Cross-reference your transcript against the O*NET occupation profile to confirm your degree field directly supports the position before applying.
Target employers with active LCA filings
Search the OFLC Wage Search to filter employers who have recently certified LCAs for data engineering roles. Employers already in the DOL system have completed prevailing wage determinations, which shortens your sponsorship timeline after an offer.
Use Migrate Mate to find H-1B sponsors
Filter Cloud Data Engineer roles by verified H-1B filing history on Migrate Mate. This surfaces employers who have actively petitioned for this specific role type, so you're not guessing at sponsorship willingness during the offer process.
Clarify cloud platform specialization early
Employers filing your H-1B petition must describe your duties with specificity. Before accepting an offer, confirm whether the role centers on AWS, Azure, or GCP. A clearly scoped job description reduces the risk of a USCIS Request for Evidence on specialty occupation grounds.
Negotiate your offer against the prevailing wage tier
Your employer's LCA must certify a wage at or above the DOL prevailing rate for your metro area and experience level. Run the OFLC Wage Search for SOC 15-1243 in your target city before negotiating, so you understand the floor your offer must clear.
Time your application around the H-1B cap lottery
H-1B cap-subject registrations open each March for an October 1 start date. If you're on OPT and your current authorization expires before October 1, confirm with your employer that they'll file for cap-gap coverage to bridge the gap.
H-1B Visa Cloud Data Engineer: Frequently Asked Questions
Does a Cloud Data Engineer role qualify as an H-1B specialty occupation?
Yes. Cloud Data Engineer positions require at least a bachelor's degree in computer science, information systems, data engineering, or a closely related field, which satisfies USCIS's specialty occupation definition. The key is that your degree field must align with the specific duties in the job description. A general business degree without a technical concentration is unlikely to meet the standard for this role.
Which employers are most likely to sponsor H-1B visas for Cloud Data Engineers?
Employers in cloud-native technology, financial services, healthcare analytics, and enterprise software tend to file the most H-1B petitions for data engineering roles. Rather than guessing, search Migrate Mate to browse Cloud Data Engineer positions filtered by verified H-1B filing history. This shows you which employers have actively sponsored this specific role type, not just any H-1B category.
How does my cloud platform specialization affect the H-1B petition?
Your employer's H-1B petition must describe your duties with enough specificity for USCIS to confirm the role qualifies. If your work centers on a specific platform like AWS Redshift, Azure Synapse, or Google BigQuery, that detail should appear in the job description and support letter. Vague descriptions increase the likelihood of a Request for Evidence challenging whether the position meets specialty occupation requirements.
What prevailing wage level applies to Cloud Data Engineer H-1B filings?
Prevailing wages for Cloud Data Engineers are set by the DOL under SOC code 15-1243, with four wage levels based on experience and supervisory responsibility. Your employer's LCA must certify a wage at or above the applicable level for your work location. You can verify the wage floor for your city and experience tier using the OFLC Wage Search before evaluating any offer.
Can I switch employers mid-H-1B if I get a better Cloud Data Engineer offer?
Yes, under H-1B portability rules you can start working for a new employer as soon as they file an H-1B transfer petition, without waiting for approval, as long as you've been in valid H-1B status for at least 180 days and the new role is in the same or a closely related specialty occupation. Your new employer must file a new LCA and I-129 petition before your first day.