E-3 Visa Cloud Data Engineer Jobs
Cloud Data Engineer roles in pipeline architecture, lakehouse design, and real-time streaming qualify as E-3 specialty occupations when backed by a degree in computer science, information systems, or a related field. Australian citizens can secure E-3 visa sponsorship without entering a lottery, making U.S. roles in this field genuinely accessible year-round.
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Get Access To All JobsINTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
As a Staff Cloud Engineer, Data Engineering for Analytics and Behavioral Change (A&BC) team, you will be working with teams building applications using billions of records of retail and healthcare data and help lead teams to deliver outcomes for your partners.
You will help support three areas with colleagues as well as work on some as an individual contributor. There will be no direct reports as the team is a mix of contractors and full time colleagues.
DevSecOps & Security Automation
- Implement and maintain CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Azure DevOps, or Jenkins.
- Integrate security scanning (SAST, SCA, DAST, container scanning) into build and deployment workflows.
- Automate cloud infrastructure using IaC tools like Terraform, CloudFormation.
- Enforce security baselines, secrets management, and identity/access controls across cloud platforms.
- Monitor vulnerabilities, remediate findings, and collaborate with security teams on compliance requirements.
- Build guardrails for secure containerization and orchestration (Docker, Kubernetes, AKS).
Azure Cloud Cost Reporting & FinOps
- Develop and maintain cloud cost dashboards and automated reporting (Azure Cost Management, Tableau).
- Analyze cost trends, identify anomalies, and recommend optimization strategies.
- Partner with engineering teams to embed cost awareness into design and deployment decisions.
- Implement tagging standards and cost‑allocation models across multi‑cloud environments.
- Support budgeting, forecasting, and show back/chargeback processes.
- Provide monthly and quarterly cost insights to leadership and finance teams.
Data Base (Snowflake) & Emerging AI
- Evaluate and Manage AI offerings in co-ordination with Cloud security, Governance groups to roll out POCs and tracking AI Token usage and associated costs.
- Manage Snowflake accounts, warehouses, roles, and resource monitors.
- Optimize warehouse sizing, auto‑suspend/auto‑resume, and query performance.
- Oversee Implementation of RBAC, data masking, and security policies within Snowflake.
- Oversee data ingestion pipelines (Snowpipe, Streams & Tasks, external stages).
- Monitor storage usage, compute consumption, and cost drivers within Snowflake.
- Support schema design, database lifecycle management, and integration with BI tools.
- Troubleshoot performance issues and collaborate with data engineering teams.
REQUIRED SKILLS & QUALIFICATIONS
Technical Skills
- 7+ years experience across Cloud.
- Strong experience with CI/CD tooling and DevSecOps practices.
- Proficiency with Terraform or other IaC frameworks.
- Hands‑on experience with Azure/GCP security and automation.
- Knowledge of containerization and Kubernetes.
- Expertise in Snowflake administration, SQL, and data‑warehouse operations.
- Familiarity with cloud cost management tools and FinOps principles.
- Scripting skills (Python, Bash, PowerShell).
- Understanding of networking, IAM, and cloud security architecture.
- Experience in API and security principles.
- AI and Agentic frameworks.
PREFERRED QUALIFICATIONS
- An understanding of AI and LLM framework such as Langchain, Langgraph.
- An understanding of experiment design, CICD and Orchestration models.
- Familiarity with modern techniques to fine tune LLM.
- Experience developing Python packages as an open-source developer/contributor.
- Strong communication, organizational, analytical, and problem-solving skills.
Education
- Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning (STEM field) or related discipline.
- Master’s degree preferred.
PAY RANGE
The typical pay range for this role is:
$118,450.00 - $236,900.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 09/30/2026. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
INTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
As a Staff Cloud Engineer, Data Engineering for Analytics and Behavioral Change (A&BC) team, you will be working with teams building applications using billions of records of retail and healthcare data and help lead teams to deliver outcomes for your partners.
You will help support three areas with colleagues as well as work on some as an individual contributor. There will be no direct reports as the team is a mix of contractors and full time colleagues.
DevSecOps & Security Automation
- Implement and maintain CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Azure DevOps, or Jenkins.
- Integrate security scanning (SAST, SCA, DAST, container scanning) into build and deployment workflows.
- Automate cloud infrastructure using IaC tools like Terraform, CloudFormation.
- Enforce security baselines, secrets management, and identity/access controls across cloud platforms.
- Monitor vulnerabilities, remediate findings, and collaborate with security teams on compliance requirements.
- Build guardrails for secure containerization and orchestration (Docker, Kubernetes, AKS).
Azure Cloud Cost Reporting & FinOps
- Develop and maintain cloud cost dashboards and automated reporting (Azure Cost Management, Tableau).
- Analyze cost trends, identify anomalies, and recommend optimization strategies.
- Partner with engineering teams to embed cost awareness into design and deployment decisions.
- Implement tagging standards and cost‑allocation models across multi‑cloud environments.
- Support budgeting, forecasting, and show back/chargeback processes.
- Provide monthly and quarterly cost insights to leadership and finance teams.
Data Base (Snowflake) & Emerging AI
- Evaluate and Manage AI offerings in co-ordination with Cloud security, Governance groups to roll out POCs and tracking AI Token usage and associated costs.
- Manage Snowflake accounts, warehouses, roles, and resource monitors.
- Optimize warehouse sizing, auto‑suspend/auto‑resume, and query performance.
- Oversee Implementation of RBAC, data masking, and security policies within Snowflake.
- Oversee data ingestion pipelines (Snowpipe, Streams & Tasks, external stages).
- Monitor storage usage, compute consumption, and cost drivers within Snowflake.
- Support schema design, database lifecycle management, and integration with BI tools.
- Troubleshoot performance issues and collaborate with data engineering teams.
REQUIRED SKILLS & QUALIFICATIONS
Technical Skills
- 7+ years experience across Cloud.
- Strong experience with CI/CD tooling and DevSecOps practices.
- Proficiency with Terraform or other IaC frameworks.
- Hands‑on experience with Azure/GCP security and automation.
- Knowledge of containerization and Kubernetes.
- Expertise in Snowflake administration, SQL, and data‑warehouse operations.
- Familiarity with cloud cost management tools and FinOps principles.
- Scripting skills (Python, Bash, PowerShell).
- Understanding of networking, IAM, and cloud security architecture.
- Experience in API and security principles.
- AI and Agentic frameworks.
PREFERRED QUALIFICATIONS
- An understanding of AI and LLM framework such as Langchain, Langgraph.
- An understanding of experiment design, CICD and Orchestration models.
- Familiarity with modern techniques to fine tune LLM.
- Experience developing Python packages as an open-source developer/contributor.
- Strong communication, organizational, analytical, and problem-solving skills.
Education
- Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning (STEM field) or related discipline.
- Master’s degree preferred.
PAY RANGE
The typical pay range for this role is:
$118,450.00 - $236,900.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 09/30/2026. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
See all 96+ E-3 Visa Cloud Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Cloud Data Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Cloud Data Engineer
Align your degree to the role description
DOL requires your LCA job duties to match a specialty occupation. If your degree is in a adjacent field like mathematics or electrical engineering, document coursework in data systems, distributed computing, or cloud architecture to strengthen the specialty occupation argument.
Target employers with active cloud infrastructure teams
Focus on companies running multi-cloud or hybrid environments at scale. Teams already managing Databricks, Snowflake, or AWS Glue pipelines are hiring for defined technical roles, which makes the specialty occupation case cleaner and speeds up internal sponsorship approval.
Get your LCA certified before your consulate appointment
The LCA must be DOL-certified before you can schedule your visa interview. Employers sometimes underestimate this lead time. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so the sequencing stays on track.
Search for E-3 sponsorship on Migrate Mate
Generic job boards don't filter by E-3 visa sponsorship history. Migrate Mate lets you search Cloud Data Engineer roles specifically matched to employers who sponsor E-3 visas, saving you from chasing roles at companies that won't move forward.
Verify your employer's E-Verify enrollment before accepting
E-3 employers aren't federally required to use E-Verify unless they're a federal contractor, but USCIS will ask about employment authorization. Confirming enrollment before your start date avoids onboarding delays if your employer's HR team is unfamiliar with the E-3 process.
E-3 Visa Cloud Data Engineer: Frequently Asked Questions
How do I find Cloud Data Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for this search. You can filter Cloud Data Engineer roles by E-3 visa sponsorship, which standard job boards don't support. This removes the guesswork of contacting employers who don't sponsor, so you spend time on roles where sponsorship is already confirmed.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Cloud Data Engineer role qualify as an E-3 specialty occupation?
Yes, in most cases. Cloud Data Engineer roles that require designing data pipelines, managing distributed systems, or architecting cloud-native solutions typically satisfy the specialty occupation standard because they require at minimum a bachelor's degree in computer science, information systems, or a closely related field. Roles where any general degree qualifies can be harder to support, so the job description and your degree field both matter.
How does the E-3 compare to the H-1B for Cloud Data Engineer roles?
The E-3 has no annual cap and no lottery, so you can apply at any point in the year once you have a job offer and a certified LCA. The H-1B has an 85,000-slot annual cap with a randomised lottery, meaning most applicants wait years for selection. For Australian Cloud Data Engineers, the E-3 is the direct path that bypasses that uncertainty entirely.
Can I change employers while on an E-3 as a Cloud Data Engineer?
Yes, but each employer change requires a fresh LCA and a new visa stamp if you travel outside the U.S. Your new employer files a new LCA with DOL before you start, and you'll need to present the certified LCA along with your new employment letter. There's no formal transfer process like the H-1B portability rule, so timing your transition carefully matters.