E-3 Visa Aws Data Engineer Jobs
AWS Data Engineer roles qualify for E-3 visa sponsorship because they meet the specialty occupation standard: a bachelor's degree in computer science, information systems, or a related field is required. The E-3 has no lottery, no annual cap pressure, and renews every two years, making it a practical path for Australian data engineers targeting U.S. cloud roles.
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Get Access To All JobsAre you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced AWS & Databricks Platform Architect you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
Work you'll do/Responsibilities
We are looking for an experienced Azure Databricks Developer to join our data engineering team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions on the Azure platform. You will work closely with data scientists, analysts, and other engineers to enable data-driven innovation and decision-making across the organization.
- Design and implement secure, scalable Databricks platform architectures on AWS, including workspace deployment, networking, IAM, and PrivateLink connectivity.
- Build and maintain Terraform-based infrastructure automation for AWS and Databricks resources to support standardized and repeatable platform delivery.
- Define and apply platform security patterns across identity, access control, secret management, network security, encryption, and data protection.
- Lead architecture discussions, technical workshops, and enablement sessions with customer and internal teams to guide solution design and implementation.
- Architect multi-account and multi-workspace environments that support strong isolation, shared services, and environment separation across dev, test, and production.
- Partner with stakeholders across security, infrastructure, and data teams to support governance, resiliency, compliance, and operational readiness.
- Provide technical guidance and support to other team members.
- Meticulous attention to detail and quality of work product.
- Ability to build and sustain professional relationships.
- Ability to lead projects or workstreams.
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
- Strong interpersonal skills and professional demeanor.
- Ability to meet deadlines.
- Ability to provide clear guidance to others.
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and/or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
- Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.
The Team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.
Qualifications
Required
- Strong understanding of Databricks classic and serverless workspace deployments on AWS, including S3, IAM, VPC design, and both front-end and back-end PrivateLink connectivity.
- 6yrs+ of hands-on Terraform experience across both AWS and Databricks resources to deploy, configure, and manage secure workspace infrastructure.
- Working knowledge of Databricks platform security architecture, including workspace isolation, identity integration, cluster access controls, secret management, and network security patterns.
- Strong communication skills with ability to independently lead architecture enablement sessions with large customer teams.
- Threat model fluency - ability to articulate protect/detect/respond controls for all seven Databricks threat categories (account takeover, data exfiltration, insider threats, supply chain attacks, Databricks compromise, ransomware, resource abuse).
- Strong understanding of data warehousing concepts and ETL/ELT processes.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- Limited immigration sponsorship may be available.
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
Preferred
- Prior experience taking customer teams through Databricks security accreditation process.
- Deep understanding of multi-workspace topologies - hub-and-spoke VPC designs, Transit Gateway integration, shared services VPCs, and cross-account network connectivity patterns for environment isolation (dev/staging/prod).
- Knowledge of data exfiltration prevention architectures - S3 VPC endpoint policies, restrictive bucket policies, STS condition keys, regional restrictions, and how Databricks data plane traffic flows interact with these controls.
- Expertise in AWS PrivateLink at scale - including endpoint services, interface endpoints, DNS resolution chains (Route 53 Private Hosted Zones, inbound/outbound resolvers), and troubleshooting connectivity failures across complex multi-account Landing Zone architectures.
- Deep knowledge of IAM trust chains in Databricks deployments - cross-account assume-role patterns, instance profiles vs. credential passthrough, IAM Roles for Service Accounts (IRSA) where applicable, and the Databricks-managed IAM role boundary model.
- Understanding of credential vending and Unity Catalog's storage credential architecture - how temporary credentials are scoped, session policies, external location grants, and how these map to S3 access patterns auditable by CloudTrail.
- Expertise in encryption architecture - CMK (Customer Managed Keys) for workspace storage, DBFS root, managed services (notebook/secret encryption), EBS encryption, and S3 SSE-KMS with key policies restricting decrypt to specific principals; understanding of key rotation implications.
- Understanding of data classification and governance controls - Unity Catalog row/column-level security, attribute-based access control patterns, dynamic views, and how these satisfy regulatory requirements (OCC, FFIEC, SOX).
- Understanding of Databricks control plane/data plane separation - what data leaves the customer's AWS account, what metadata is stored in the Databricks-managed control plane, and how to articulate this to security review boards.
- Knowledge of disaster recovery and high availability patterns - workspace regional failover considerations, metastore replication, cross-region S3 replication for underlying data, and RTO/RPO implications for Databricks-dependent pipelines.
- Familiarity with patch management and image hardening - including the Databricks Runtime AMI lifecycle, custom container support (Docker on Databricks), CIS benchmark applicability, and addressing vulnerability scanning findings on ephemeral compute.
- Understanding of multi-tenancy isolation guarantees - how Databricks isolates workloads between customers at the compute, storage, and network layers, and the additional controls available (dedicated VPCs, dedicated control plane for very large deployments).
- Knowledge of identity federation patterns - SCIM provisioning, SAML/OIDC integration, token lifecycle management, and how Databricks PAT/OAuth tokens interact with enterprise session management.
- Enterprise Secrets Vault Integration: Practical experience architecting interim and native secrets retrieval pipelines, specifically leveraging HashiCorp Vault or CyberArk to manage rotated service principal client secrets and runtime on-premises database credentials.
- Very strong understanding of terraform modules for databricks and aws.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
This position is aligned with the Project Delivery Model. To view the associated benefit package, please reference this document USBenefitsJourneyProjectandCenterTAM.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices - Deloitte US Careers
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced AWS & Databricks Platform Architect you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
Work you'll do/Responsibilities
We are looking for an experienced Azure Databricks Developer to join our data engineering team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions on the Azure platform. You will work closely with data scientists, analysts, and other engineers to enable data-driven innovation and decision-making across the organization.
- Design and implement secure, scalable Databricks platform architectures on AWS, including workspace deployment, networking, IAM, and PrivateLink connectivity.
- Build and maintain Terraform-based infrastructure automation for AWS and Databricks resources to support standardized and repeatable platform delivery.
- Define and apply platform security patterns across identity, access control, secret management, network security, encryption, and data protection.
- Lead architecture discussions, technical workshops, and enablement sessions with customer and internal teams to guide solution design and implementation.
- Architect multi-account and multi-workspace environments that support strong isolation, shared services, and environment separation across dev, test, and production.
- Partner with stakeholders across security, infrastructure, and data teams to support governance, resiliency, compliance, and operational readiness.
- Provide technical guidance and support to other team members.
- Meticulous attention to detail and quality of work product.
- Ability to build and sustain professional relationships.
- Ability to lead projects or workstreams.
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
- Strong interpersonal skills and professional demeanor.
- Ability to meet deadlines.
- Ability to provide clear guidance to others.
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and/or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
- Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.
The Team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.
Qualifications
Required
- Strong understanding of Databricks classic and serverless workspace deployments on AWS, including S3, IAM, VPC design, and both front-end and back-end PrivateLink connectivity.
- 6yrs+ of hands-on Terraform experience across both AWS and Databricks resources to deploy, configure, and manage secure workspace infrastructure.
- Working knowledge of Databricks platform security architecture, including workspace isolation, identity integration, cluster access controls, secret management, and network security patterns.
- Strong communication skills with ability to independently lead architecture enablement sessions with large customer teams.
- Threat model fluency - ability to articulate protect/detect/respond controls for all seven Databricks threat categories (account takeover, data exfiltration, insider threats, supply chain attacks, Databricks compromise, ransomware, resource abuse).
- Strong understanding of data warehousing concepts and ETL/ELT processes.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- Limited immigration sponsorship may be available.
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
Preferred
- Prior experience taking customer teams through Databricks security accreditation process.
- Deep understanding of multi-workspace topologies - hub-and-spoke VPC designs, Transit Gateway integration, shared services VPCs, and cross-account network connectivity patterns for environment isolation (dev/staging/prod).
- Knowledge of data exfiltration prevention architectures - S3 VPC endpoint policies, restrictive bucket policies, STS condition keys, regional restrictions, and how Databricks data plane traffic flows interact with these controls.
- Expertise in AWS PrivateLink at scale - including endpoint services, interface endpoints, DNS resolution chains (Route 53 Private Hosted Zones, inbound/outbound resolvers), and troubleshooting connectivity failures across complex multi-account Landing Zone architectures.
- Deep knowledge of IAM trust chains in Databricks deployments - cross-account assume-role patterns, instance profiles vs. credential passthrough, IAM Roles for Service Accounts (IRSA) where applicable, and the Databricks-managed IAM role boundary model.
- Understanding of credential vending and Unity Catalog's storage credential architecture - how temporary credentials are scoped, session policies, external location grants, and how these map to S3 access patterns auditable by CloudTrail.
- Expertise in encryption architecture - CMK (Customer Managed Keys) for workspace storage, DBFS root, managed services (notebook/secret encryption), EBS encryption, and S3 SSE-KMS with key policies restricting decrypt to specific principals; understanding of key rotation implications.
- Understanding of data classification and governance controls - Unity Catalog row/column-level security, attribute-based access control patterns, dynamic views, and how these satisfy regulatory requirements (OCC, FFIEC, SOX).
- Understanding of Databricks control plane/data plane separation - what data leaves the customer's AWS account, what metadata is stored in the Databricks-managed control plane, and how to articulate this to security review boards.
- Knowledge of disaster recovery and high availability patterns - workspace regional failover considerations, metastore replication, cross-region S3 replication for underlying data, and RTO/RPO implications for Databricks-dependent pipelines.
- Familiarity with patch management and image hardening - including the Databricks Runtime AMI lifecycle, custom container support (Docker on Databricks), CIS benchmark applicability, and addressing vulnerability scanning findings on ephemeral compute.
- Understanding of multi-tenancy isolation guarantees - how Databricks isolates workloads between customers at the compute, storage, and network layers, and the additional controls available (dedicated VPCs, dedicated control plane for very large deployments).
- Knowledge of identity federation patterns - SCIM provisioning, SAML/OIDC integration, token lifecycle management, and how Databricks PAT/OAuth tokens interact with enterprise session management.
- Enterprise Secrets Vault Integration: Practical experience architecting interim and native secrets retrieval pipelines, specifically leveraging HashiCorp Vault or CyberArk to manage rotated service principal client secrets and runtime on-premises database credentials.
- Very strong understanding of terraform modules for databricks and aws.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
This position is aligned with the Project Delivery Model. To view the associated benefit package, please reference this document USBenefitsJourneyProjectandCenterTAM.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices - Deloitte US Careers
See all 180+ E-3 Visa Aws Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Aws Data Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an Aws Data Engineer
Align your credentials to specialty occupation
Your Australian bachelor's degree must map directly to the AWS Data Engineer role, not just to technology broadly. A degree in computer science or information systems satisfies this. A business degree with tech electives often doesn't, so confirm the field alignment before applying.
Target employers with active LCA filings
Search the DOL's Foreign Labor Application Gateway to identify companies that have recently certified LCAs for data engineering roles. Employers already familiar with the LCA process move faster and are less likely to abandon sponsorship mid-offer.
Use Migrate Mate to find E-3 sponsoring employers
Searching broadly for AWS Data Engineer roles wastes time on employers who won't sponsor. Migrate Mate filters specifically for E-3 visa sponsorship jobs, so every application you send is to an employer already open to the process.
Clarify AWS certification scope in your application
Certifications like AWS Certified Data Engineer or AWS Certified Solutions Architect strengthen your specialty occupation case by demonstrating field-specific expertise. Include them prominently in your resume and be prepared to reference them if USCIS issues a Request for Evidence.
Negotiate LCA filing into your offer timeline
The employer must file the LCA with the DOL before you can proceed with your visa application. Confirm this step is part of the onboarding timeline during offer negotiation, not an afterthought, so your consulate appointment isn't delayed by a late-starting certification.
Handle the entire filing through a single service
AWS Data Engineer E-3 applications involve LCA certification, DS-160 completion, and consulate preparation across multiple agencies. Using Migrate Mate's E-3 filing service manages the entire process from offer to consulate appointment, reducing the risk of errors across those separate steps.
E-3 Visa Aws Data Engineer: Frequently Asked Questions
How do I find AWS Data Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It filters AWS Data Engineer roles by E-3 visa sponsorship, so you're only seeing employers already open to hiring Australian nationals on an E-3. General job boards don't filter by visa type, which means most results won't lead anywhere useful for sponsorship.
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 an AWS Data Engineer role qualify as a specialty occupation for the E-3?
Yes, in most cases. AWS Data Engineer roles typically require a bachelor's degree in computer science, information systems, or a closely related field, which satisfies the specialty occupation standard. The key is that the degree requirement must be specific to the field, not just any degree. Roles where the employer accepts any bachelor's degree regardless of field are harder to support and may face scrutiny.
How does the E-3 compare to the H-1B for Australian AWS Data Engineers?
The E-3 is available only to Australian nationals and has no lottery, no annual cap backlog, and no wait for an available slot. H-1B visa requires entering a random lottery with roughly a one-in-four chance of selection. For AWS Data Engineers who qualify as Australian citizens, the E-3 is a direct path to a U.S. work visa that the H-1B simply cannot match in predictability.
Can I switch AWS Data Engineer employers after getting an E-3?
Yes, but you can't transfer your existing E-3 to a new employer. Each employer change requires a fresh LCA certification from the DOL and a new visa application or change of status. You can start working for the new employer once the new LCA is certified and you've obtained a new E-3 stamp or status approval, so plan the transition with enough lead time to avoid a gap.