STEM OPT Azure Data Engineer Jobs
Azure Data Engineer roles in cloud infrastructure, data pipelines, and analytics qualify for the STEM OPT 24-month extension if your degree is in computer science, information technology, or a related STEM field. Your employer must be enrolled in E-Verify and sign a Form I-983 training plan before your extension begins.
See All Azure Data Engineer JobsOverview
Showing 5 of 7+ Azure 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 Azure Data Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Azure Data Engineer roles.
Get Access To All JobsDescription
Seeking a highly skilled senior AI Engineer to join the Risk Tech innovative team. The ideal candidate will be responsible for developing and deploying intelligent AI solutions using VS Code, Azure AI Studio, and Databricks. You will integrate AI powered solutions across multiple channels like Web applications, etc.
Key Responsibilities:
- Design, develop and deploy intelligent conversational AI solutions using Azure AI technologies, and Databricks.
- Utilize VS code, Databricks and AI studio for model development, testing, deployment, and monitoring.
- Build and manage AI agents for automation and advanced conversational experiences.
- Integrate the AI services into applications using python frameworks such as Django, FastAPI, and Flask; build secure REST endpoints, async workers, and SDK-based clients.
- Collaborate with cross functional teams to gather requirements, design conversational flows, and implement scalable solutions.
- Monitor and optimize AI model performance, ensuring reliability and accuracy.
- Develop reusable components and pipelines in Azure AI and Databricks for rapid solution deployment.
- Ensure adherence to data privacy and security standards within all AI implementations.
Technical skills and qualifications:
- BS or MS in Computer Science, Engineering, or related fields
- Proven experience working with Azure AI services (e.g. Azure OpenAI, Azure Bot service, Cognitive services, Copilot)
- Hands-on experience with Databricks Genie and building AI agents for enterprise use cases.
- Familiarity with MCP for secure and standardized integration of AI models with external tools and APIs.
- Strong understanding of NLPs, LLMs and RESTful API integration.
- Familiarity with Microsoft Copilot, Github Copilot, Azure AI Services, Databricks including practical experience with Azure Machine Learning and Azure Open AI
- Proven experience with AI/ML model evaluation, deep understanding of machine learning algorithms and data processing techniques
- Expertise in designing MLOps pipelines, encompassing model registry security, secure model deployment, and runtime security monitoring for AI models.
- Experience integrating AI with applications using Python frameworks (FastAPI, Django, Flask), task queues, and observability.
- Intermediate programming skills in Python with a focus on developing secure and scalable AI solutions.
Preferred qualifications:
- Microsoft Certified: Azure AI Engineer Associate or equivalent
- Databricks Certified: Generative AI Engineer Associate or equivalent
- Experience with Prompt engineering and AI lifecycle management.
- Knowledge of DevOps/MLOps practices for AI model deployment on Azure.
- Familiarity with agile methodologies and CI/CD pipelines in Azure DevOps and GitHub.
Description
Seeking a highly skilled senior AI Engineer to join the Risk Tech innovative team. The ideal candidate will be responsible for developing and deploying intelligent AI solutions using VS Code, Azure AI Studio, and Databricks. You will integrate AI powered solutions across multiple channels like Web applications, etc.
Key Responsibilities:
- Design, develop and deploy intelligent conversational AI solutions using Azure AI technologies, and Databricks.
- Utilize VS code, Databricks and AI studio for model development, testing, deployment, and monitoring.
- Build and manage AI agents for automation and advanced conversational experiences.
- Integrate the AI services into applications using python frameworks such as Django, FastAPI, and Flask; build secure REST endpoints, async workers, and SDK-based clients.
- Collaborate with cross functional teams to gather requirements, design conversational flows, and implement scalable solutions.
- Monitor and optimize AI model performance, ensuring reliability and accuracy.
- Develop reusable components and pipelines in Azure AI and Databricks for rapid solution deployment.
- Ensure adherence to data privacy and security standards within all AI implementations.
Technical skills and qualifications:
- BS or MS in Computer Science, Engineering, or related fields
- Proven experience working with Azure AI services (e.g. Azure OpenAI, Azure Bot service, Cognitive services, Copilot)
- Hands-on experience with Databricks Genie and building AI agents for enterprise use cases.
- Familiarity with MCP for secure and standardized integration of AI models with external tools and APIs.
- Strong understanding of NLPs, LLMs and RESTful API integration.
- Familiarity with Microsoft Copilot, Github Copilot, Azure AI Services, Databricks including practical experience with Azure Machine Learning and Azure Open AI
- Proven experience with AI/ML model evaluation, deep understanding of machine learning algorithms and data processing techniques
- Expertise in designing MLOps pipelines, encompassing model registry security, secure model deployment, and runtime security monitoring for AI models.
- Experience integrating AI with applications using Python frameworks (FastAPI, Django, Flask), task queues, and observability.
- Intermediate programming skills in Python with a focus on developing secure and scalable AI solutions.
Preferred qualifications:
- Microsoft Certified: Azure AI Engineer Associate or equivalent
- Databricks Certified: Generative AI Engineer Associate or equivalent
- Experience with Prompt engineering and AI lifecycle management.
- Knowledge of DevOps/MLOps practices for AI model deployment on Azure.
- Familiarity with agile methodologies and CI/CD pipelines in Azure DevOps and GitHub.
See all Azure Data Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Azure Data Engineer roles.
Get Access To All JobsTips for Finding STEM OPT Authorization as an Azure Data Engineer
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code appears on the STEM Designated Degree Program List. Computer science, data science, and information systems CIP codes commonly qualify, but your DSO confirms eligibility before filing.
Confirm E-Verify enrollment before accepting offers
Ask each recruiter to confirm their company's E-Verify Employer ID number during the offer stage. An employer who isn't enrolled cannot legally hire you on STEM OPT, and enrollment can't be rushed after you've already accepted.
Build Azure certifications that signal sponsorship readiness
Hiring managers for Azure Data Engineer roles frequently filter for AZ-900, DP-203, or the Azure Data Engineer Associate credential. These certifications compress your ramp-up time and reduce the training burden employers weigh when evaluating STEM OPT candidates.
Target companies with active data engineering LCA filings
Use the OFLC Wage Search to identify employers who have filed Labor Condition Applications for data engineering roles. Active LCA history signals an established process for work-authorized hires, not a first attempt at the paperwork.
Find STEM OPT-ready Azure roles on Migrate Mate
Migrate Mate filters Azure Data Engineer listings by E-Verify enrollment status, so you only see employers who can legally hire you on STEM OPT. Search by role and location without manually vetting each company's compliance status.
File your I-983 training plan before your OPT end date
Your DSO must receive a completed Form I-983, signed by both you and your employer's authorized training supervisor, before USCIS can approve the 24-month extension. Late submissions create gaps in work authorization that can't be retroactively filled.
Azure Data Engineer jobs are hiring across the US. Find yours.
Find Azure Data Engineer JobsFrequently Asked Questions
Does an Azure Data Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in a STEM-designated field such as computer science, information systems, or data science, and the Azure Data Engineer role directly applies that coursework. Your DSO verifies that your degree's CIP code appears on the official STEM Designated Degree Program List before recommending the extension to USCIS. The role itself must also align with the learning objectives listed in your Form I-983 training plan.
What E-Verify requirement applies to my STEM OPT employer?
Every employer who hires you on a STEM OPT extension must be actively enrolled in E-Verify for the specific site where you'll work. Enrollment at a company's headquarters doesn't automatically cover subsidiary offices or remote work locations under a different EIN. Confirm the exact E-Verify Employer ID for your worksite before your extension is filed, because USCIS will reject a STEM OPT extension tied to a non-enrolled location.
What does the I-983 training plan need to include for a data engineering role?
Your Form I-983 must describe how your Azure Data Engineering work directly relates to your STEM degree, listing specific learning objectives such as designing ETL pipelines, managing Azure Data Factory workflows, or building Lakehouse architectures. It must name a supervising employee who will provide oversight and conduct the required evaluations at the 12-month and 24-month marks. Generic job descriptions without degree-level connections are the most common reason DSOs send I-983s back for revision.
How does cap-gap protection work if I'm an Azure Data Engineer on STEM OPT waiting for H-1B?
If your employer files an H-1B petition before your STEM OPT EAD expires and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30 of that fiscal year. You can continue working as an Azure Data Engineer during this period without a new EAD. USCIS confirms cap-gap status through the receipt notice your employer receives after filing Form I-129, which your DSO will want a copy of for your SEVIS record.
Where can I find Azure Data Engineer jobs where the employer is already enrolled in E-Verify?
Migrate Mate surfaces Azure Data Engineer listings filtered by E-Verify enrollment status, so you can focus your search on employers who are already cleared to hire STEM OPT students. This saves the back-and-forth of asking each recruiter about compliance status before you've even had a screening call. You can also cross-reference any employer by searching the E-Verify employer search tool by company name to independently confirm enrollment.
See which Azure Data Engineer employers are hiring and sponsoring visas right now.
Search Azure Data Engineer Jobs