Reejig E-3 Visa Sponsorship Jobs USA
Aecom Technical Services sponsors E-3 visas across engineering, environmental consulting, and infrastructure roles, making it a consistent option for Australian professionals in technical fields. With a track record of sponsoring across multiple visa types including E-3, Aecom demonstrates genuine familiarity with the specialty occupation filing process.
See All Reejig JobsOverview
Showing 5 of 5+ Reejig E-3 Visa Sponsorship Jobs USA
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 Reejig E-3 Visa Sponsorship Jobs USA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Reejig E-3 Visa Sponsorship Jobs USA.
Get Access To All JobsAbout the Role
You will be our first data hire in the US. Our data team is based in Sydney; our fastest-growing market is the US. We need a strong, hands-on data engineer in the US timezone who can own the data layer for our US product team, support US customers when data issues arise, and build the data foundation for the US function. The data pipelines you build and maintain power core product features, AI capabilities, and customer analytics. You will work alongside our US-based Head of Product, a Senior Product Designer, and a Senior Fullstack Engineer as part of the core US product team. You report to the Head of Data in Sydney. This role is primarily data engineering. If you also bring data science capability — analytics, model evaluation, experimentation — there is scope to take on that work as well. We are planning for a separate Data Scientist hire, but for the right candidate the two roles could be combined.
What We Expect
Build and Operate Data Pipelines
- Own the data pipelines that power product features, AI systems, and analytics. Build pipelines to ingest and process structured datasets — CSVs, spreadsheets, APIs, event streams — with strong validation and error handling.
- Develop and maintain pipelines supporting embeddings, RAG, and other LLM-driven data workflows. This is core to how the product works.
- Investigate data inconsistencies, debug pipeline failures, and improve pipeline robustness. When something breaks that affects a US customer, you are the first responder in-timezone.
- Work across existing codebases and data systems. Understand what’s there, improve it, extend it safely.
- Operate in production: deploy, monitor, and maintain data systems using Terraform and CI/CD pipelines.
Support US Customers
- Be the US-hours data responder for customer data issues. Investigate, assess severity, resolve directly or hand off to the Sydney data team with complete context.
- Build playbooks and observability tooling for data triage that compress response times and reduce back-and-forth with Sydney.
- Work with the US Fullstack Engineer to cover cross-discipline customer issues. You own the data domain; they handle application and infrastructure.
Partner with the US Product Team
- Be the data voice alongside the Head of Product, designer, and engineer. Surface what the data can and can’t support, identify opportunities, inform product direction.
- Deliver data-driven features in collaboration with application engineers and the product team.
- Contribute to improving internal tooling for data validation, troubleshooting, and operational visibility.
AI-First Engineering
- Use AI coding tools (Cursor, Copilot, Claude Code, or equivalent) as a core part of how you build. This is a baseline expectation, not a bonus.
- Work with the wider engineering team and Head of Data to consolidate AI-assisted development practices across the data stack.
What You Need
- 5+ years in data engineering or backend systems with a strong data focus.
- Strong Python skills for pipelines, data processing, and scripting.
- Strong SQL and experience with relational databases (PostgreSQL, MySQL).
- Experience building ETL/ELT pipelines and working with event-driven processing (queues, async workers, pub/sub).
- Experience with ML or LLM pipelines, embeddings, or RAG systems. Our product is AI-powered; you need to have worked in this space.
- Infrastructure awareness: comfortable deploying and operating data systems using Terraform, CI/CD, and AWS services (S3, RDS, EKS).
- You can navigate existing systems and codebases, understand how they work, and safely extend or improve them.
- AI-first mindset: you use AI tools to build software, not just build AI features. Proficiency with AI coding tools is expected.
- Clear communicator. You can explain data issues and trade-offs to engineers, product partners, and customers.
- Comfortable with ambiguity and autonomy. You’re joining a small US team with real ownership and no safety net.
Strong Signals
- Data science capability alongside data engineering: analytics, model evaluation, experimentation, statistical analysis.
- Experience with structured ontology data or knowledge graphs.
- Prior startup or scale-up experience in a fast-moving environment.
- Customer-facing data work: investigating data issues for enterprise customers, explaining data quality problems, translating customer needs into pipeline improvements.
- Experience working across timezones in a distributed team.
Tech Stack
Python, MySQL, Redis, AWS including S3, RDS, and EKS LLM pipelines, embeddings, RAG, structured ontology data
Why This Matters
Reejig is at a point of real inflection. We are building a company that will reshape how organisations operate in the AI era. The people who join now are not stepping into a role, they are stepping into a chance to build something with scale and long term impact. If you want work that changes your career and creates meaningful equity upside, this is the moment.
About the Role
You will be our first data hire in the US. Our data team is based in Sydney; our fastest-growing market is the US. We need a strong, hands-on data engineer in the US timezone who can own the data layer for our US product team, support US customers when data issues arise, and build the data foundation for the US function. The data pipelines you build and maintain power core product features, AI capabilities, and customer analytics. You will work alongside our US-based Head of Product, a Senior Product Designer, and a Senior Fullstack Engineer as part of the core US product team. You report to the Head of Data in Sydney. This role is primarily data engineering. If you also bring data science capability — analytics, model evaluation, experimentation — there is scope to take on that work as well. We are planning for a separate Data Scientist hire, but for the right candidate the two roles could be combined.
What We Expect
Build and Operate Data Pipelines
- Own the data pipelines that power product features, AI systems, and analytics. Build pipelines to ingest and process structured datasets — CSVs, spreadsheets, APIs, event streams — with strong validation and error handling.
- Develop and maintain pipelines supporting embeddings, RAG, and other LLM-driven data workflows. This is core to how the product works.
- Investigate data inconsistencies, debug pipeline failures, and improve pipeline robustness. When something breaks that affects a US customer, you are the first responder in-timezone.
- Work across existing codebases and data systems. Understand what’s there, improve it, extend it safely.
- Operate in production: deploy, monitor, and maintain data systems using Terraform and CI/CD pipelines.
Support US Customers
- Be the US-hours data responder for customer data issues. Investigate, assess severity, resolve directly or hand off to the Sydney data team with complete context.
- Build playbooks and observability tooling for data triage that compress response times and reduce back-and-forth with Sydney.
- Work with the US Fullstack Engineer to cover cross-discipline customer issues. You own the data domain; they handle application and infrastructure.
Partner with the US Product Team
- Be the data voice alongside the Head of Product, designer, and engineer. Surface what the data can and can’t support, identify opportunities, inform product direction.
- Deliver data-driven features in collaboration with application engineers and the product team.
- Contribute to improving internal tooling for data validation, troubleshooting, and operational visibility.
AI-First Engineering
- Use AI coding tools (Cursor, Copilot, Claude Code, or equivalent) as a core part of how you build. This is a baseline expectation, not a bonus.
- Work with the wider engineering team and Head of Data to consolidate AI-assisted development practices across the data stack.
What You Need
- 5+ years in data engineering or backend systems with a strong data focus.
- Strong Python skills for pipelines, data processing, and scripting.
- Strong SQL and experience with relational databases (PostgreSQL, MySQL).
- Experience building ETL/ELT pipelines and working with event-driven processing (queues, async workers, pub/sub).
- Experience with ML or LLM pipelines, embeddings, or RAG systems. Our product is AI-powered; you need to have worked in this space.
- Infrastructure awareness: comfortable deploying and operating data systems using Terraform, CI/CD, and AWS services (S3, RDS, EKS).
- You can navigate existing systems and codebases, understand how they work, and safely extend or improve them.
- AI-first mindset: you use AI tools to build software, not just build AI features. Proficiency with AI coding tools is expected.
- Clear communicator. You can explain data issues and trade-offs to engineers, product partners, and customers.
- Comfortable with ambiguity and autonomy. You’re joining a small US team with real ownership and no safety net.
Strong Signals
- Data science capability alongside data engineering: analytics, model evaluation, experimentation, statistical analysis.
- Experience with structured ontology data or knowledge graphs.
- Prior startup or scale-up experience in a fast-moving environment.
- Customer-facing data work: investigating data issues for enterprise customers, explaining data quality problems, translating customer needs into pipeline improvements.
- Experience working across timezones in a distributed team.
Tech Stack
Python, MySQL, Redis, AWS including S3, RDS, and EKS LLM pipelines, embeddings, RAG, structured ontology data
Why This Matters
Reejig is at a point of real inflection. We are building a company that will reshape how organisations operate in the AI era. The people who join now are not stepping into a role, they are stepping into a chance to build something with scale and long term impact. If you want work that changes your career and creates meaningful equity upside, this is the moment.
Job Roles at Reejig
See all Reejig Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Reejig roles.
Get Access To All JobsTips for Finding Reejig E-3 Visa Sponsorship Jobs USA
Match your degree to the role
Aecom's E-3 roles in consulting and engineering require your degree field to directly match the position. An environmental science degree supporting an environmental engineer role clears this bar. A business degree for a project manager role at a technical firm often doesn't without additional documentation.
Research Aecom's LCA-filed job titles
Before applying, look up Aecom's certified Labor Condition Applications through OFLC to see which job titles they've filed for under E-3. This tells you which roles the company has structured to meet prevailing wage and specialty occupation requirements, so you target positions with a clear filing path.
Align your resume to specialty occupation standards
Aecom operates in a sector where USCIS scrutinizes whether a role truly requires a specific bachelor's degree. Use O*NET to confirm your target job title carries a bachelor's-level requirement, then mirror that occupational language throughout your resume before submitting your application.
Clarify sponsorship intent before accepting an offer
Aecom's HR teams handle E-3 alongside H-1B and other visa types, so the person interviewing you may not know the E-3's distinct requirements. Ask directly whether the offer letter can specify E-3 and whether they work with immigration counsel who has E-3 experience.
Use Migrate Mate to verify Aecom's E-3 filing history
Before you apply, check Aecom Technical Services on Migrate Mate to review their verified E-3 sponsorship history and active job listings. This helps you confirm the company sponsors for your specific occupation type rather than relying on general employer reputation alone.
Time your application around LCA certification windows
DOL certifies most LCAs within seven business days, but Aecom's internal HR and legal review adds time before they can even submit. Build at least three to four weeks of buffer between your target start date and when you expect to receive your consular appointment.
Reejig E-3 Visa Sponsorship: Frequently Asked Questions
Does Aecom Technical Services sponsor E-3 visas?
Yes, Aecom Technical Services sponsors E-3 visas for Australian nationals in qualifying specialty occupation roles. The company has a documented history of E-3 filings across engineering, environmental, and infrastructure consulting positions. You can verify their active sponsorship history and find open roles through Migrate Mate before you apply.
Which roles at Aecom Technical Services typically receive E-3 sponsorship?
Aecom's E-3 sponsorship is concentrated in technical and professional disciplines: civil and structural engineering, environmental science, transportation planning, and project management roles that require a directly related bachelor's degree. Generalist or administrative positions are less likely to meet USCIS's specialty occupation standard and are rarely filed under E-3.
How do I start the E-3 application process at Aecom Technical Services?
Once Aecom extends a job offer, their immigration team files a Labor Condition Application with DOL. After LCA certification, you take that document along with your offer letter and other supporting materials to a U.S. consulate in Australia for your visa interview. You don't need to wait for a lottery or USCIS petition approval the way H-1B visa applicants do.
How long does E-3 sponsorship take at Aecom Technical Services?
The employer-side timeline runs approximately two to four weeks: DOL certifies the LCA within seven business days, but Aecom's internal legal review and document preparation adds time. Consulate appointment availability in Sydney, Melbourne, or Perth then determines your total wait. Build at least four to six weeks of runway from offer to your target start date.
What should I know before applying to Aecom Technical Services for E-3 sponsorship?
Confirm that your degree field directly corresponds to the role's requirements, since Aecom's consulting positions often involve USCIS scrutiny on specialty occupation status. Review their previously filed job titles through OFLC to identify which roles have an established filing path, and ask Aecom's HR team specifically whether they have immigration counsel experienced with E-3 rather than H-1B-only practitioners.
What is the prevailing wage for E-3 sponsorship at Aecom Technical Services?
E-3 employers must pay at least the prevailing wage, determined when they file a Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, ensuring Australian hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.