E-3 Visa Senior Staff Data Engineer Jobs
Senior Staff Data Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, data engineering, or a related field. Australian citizens can secure two-year, indefinitely renewable E-3 status without entering an H-1B lottery, making this one of the most direct paths to U.S.-based data engineering work.
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Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Agents are changing how people build software and analyze data. Slack’s data platform needs to support both agents that surface insights, and developer tools that use data to provide quantitative feedback in the product iteration process.
We’re looking for a Staff or Senior Staff engineer to help build out Agentic Analytics at Slack. You’ll collaborate on technical direction, build, and go from early prototypes through production. Your work could span many parts of the data stack: ingestion, infrastructure, semantic layers, and the interfaces that make data useful to humans and AI agents.
You’ll partner with engineers across Data Engineering, Data Science, product, core infrastructure, and developer experience to quickly iterate on high leverage problem spaces and ship pragmatic solutions.
You’ll help us:
- Build data platform for agents. Design APIs, MCPs, and tools that let agents map data concepts to the right entities in the data warehouse.
- Make data digestible. Improve our semantic layer so people and agents alike can navigate metric definitions, lineage, ownership, and reliability.
- Make data on time (or provide signal when it’s not). Build ingestion and infrastructure for timely analytics, and experimentation. Evaluate tradeoffs between freshness, accuracy, reliability, and cost.
- Ship tools that make data easy to analyze. Make it easy to draft accurate queries, do root cause analysis, and build visualizations.
- Own the path to production. Drive architecture, implementation, rollout, and adoption.
- Raise the engineering bar across teams by helping engineers make good design decisions, resolve technical dependencies, and grow through mentorship and leading by example.
How you work matters:
- You’re a high velocity engineer. You decompose problem spaces into digestible chunks and constantly iterate.
- You’re biased toward action. You love to prototype to test ideas and get feedback early, but are okay throwing away bad ideas.
- You can quickly build context in unfamiliar areas. You can move between a pipeline, a service, or a developer tool, build enough context to contribute. You also know when to ask for help when it speeds things up.
- You balance speed and judgment. You can get a prototype off the ground quickly, but also build a reliable and scalable production system.
Minimum qualifications:
- 8+ years of experience building and operating a data platform
- A track record of leading complex technical projects across teams as an individual contributor
- Strong software engineering skills balanced with deep data expertise
- Clear technical communication and the ability to build alignment with engineers, data scientists, analysts, and product partners
- Strong proficiency in programming languages like Python, Go, Java, or similar
Bonus points for:
- Experience building infrastructure or tools for AI agents
- Experience with semantic layers, metrics platforms, data catalogs, or lineage. These might include familiarity with tools like Airflow, dbt, Databricks, sqlmesh, Datahub, Superset or Snowflake
- Expertise in SQL & Python to build data pipelines
- Experience building APIs, SDKs, or self-service platforms that other engineers use.
- Practical experience using AI development tools to accelerate implementation while maintaining engineering quality.
Technologies We Use:
Data: Trino, Spark, Pinot, Hive, Airflow, Iceberg, Spark, Datahub, Kafka
Storage: S3
Infrastructure: Terraform, AWS
Languages: Python, Go, SQL, Scala, Typescript
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.
The typical base salary range for this position is $197,300 - $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $401,400 annually.
The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Agents are changing how people build software and analyze data. Slack’s data platform needs to support both agents that surface insights, and developer tools that use data to provide quantitative feedback in the product iteration process.
We’re looking for a Staff or Senior Staff engineer to help build out Agentic Analytics at Slack. You’ll collaborate on technical direction, build, and go from early prototypes through production. Your work could span many parts of the data stack: ingestion, infrastructure, semantic layers, and the interfaces that make data useful to humans and AI agents.
You’ll partner with engineers across Data Engineering, Data Science, product, core infrastructure, and developer experience to quickly iterate on high leverage problem spaces and ship pragmatic solutions.
You’ll help us:
- Build data platform for agents. Design APIs, MCPs, and tools that let agents map data concepts to the right entities in the data warehouse.
- Make data digestible. Improve our semantic layer so people and agents alike can navigate metric definitions, lineage, ownership, and reliability.
- Make data on time (or provide signal when it’s not). Build ingestion and infrastructure for timely analytics, and experimentation. Evaluate tradeoffs between freshness, accuracy, reliability, and cost.
- Ship tools that make data easy to analyze. Make it easy to draft accurate queries, do root cause analysis, and build visualizations.
- Own the path to production. Drive architecture, implementation, rollout, and adoption.
- Raise the engineering bar across teams by helping engineers make good design decisions, resolve technical dependencies, and grow through mentorship and leading by example.
How you work matters:
- You’re a high velocity engineer. You decompose problem spaces into digestible chunks and constantly iterate.
- You’re biased toward action. You love to prototype to test ideas and get feedback early, but are okay throwing away bad ideas.
- You can quickly build context in unfamiliar areas. You can move between a pipeline, a service, or a developer tool, build enough context to contribute. You also know when to ask for help when it speeds things up.
- You balance speed and judgment. You can get a prototype off the ground quickly, but also build a reliable and scalable production system.
Minimum qualifications:
- 8+ years of experience building and operating a data platform
- A track record of leading complex technical projects across teams as an individual contributor
- Strong software engineering skills balanced with deep data expertise
- Clear technical communication and the ability to build alignment with engineers, data scientists, analysts, and product partners
- Strong proficiency in programming languages like Python, Go, Java, or similar
Bonus points for:
- Experience building infrastructure or tools for AI agents
- Experience with semantic layers, metrics platforms, data catalogs, or lineage. These might include familiarity with tools like Airflow, dbt, Databricks, sqlmesh, Datahub, Superset or Snowflake
- Expertise in SQL & Python to build data pipelines
- Experience building APIs, SDKs, or self-service platforms that other engineers use.
- Practical experience using AI development tools to accelerate implementation while maintaining engineering quality.
Technologies We Use:
Data: Trino, Spark, Pinot, Hive, Airflow, Iceberg, Spark, Datahub, Kafka
Storage: S3
Infrastructure: Terraform, AWS
Languages: Python, Go, SQL, Scala, Typescript
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.
The typical base salary range for this position is $197,300 - $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $401,400 annually.
The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
See all 326+ E-3 Visa Senior Staff Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Senior Staff Data Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Senior Staff Data Engineer
Align your credentials to specialty occupation standards
DOL requires your degree field to directly relate to the data engineering role. A computer science or information systems degree maps cleanly, but a business degree with a data-heavy postgraduate qualification may need a credential evaluation letter to satisfy the specialty occupation requirement.
Target employers with active DOL LCA histories
Search the DOL's Foreign Labor Certification Data Center for employers who have previously certified LCAs for data engineering titles. Prior LCA filings signal that an employer understands the E-3 visa process and won't treat your sponsorship request as a novel legal exercise.
Distinguish your staff-level scope in application materials
Senior Staff Data Engineer roles involve cross-functional architecture decisions and mentorship, not just pipeline execution. Your resume and any supporting documentation should reflect that scope so the LCA job description accurately captures a position requiring a specific technical degree rather than general experience.
Negotiate LCA filing into your offer timeline
Your employer must obtain a certified LCA from the DOL before you can attend your consular appointment. Ask the hiring team to initiate the LCA the same week you receive your written offer so certification doesn't compress your start-date window.
Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork
Senior Staff roles often require detailed job duty descriptions that satisfy DOL specialty occupation standards. Migrate Mate's E-3 filing service prepares the LCA, DS-160, and consulate documentation end-to-end so nothing in your packet understates the technical depth of the role.
Prepare for Australian degree equivalency questions at the consulate
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 purposes, but consular officers can ask. Carry your official transcripts and, if your degree program ran three years, a credential evaluation from a NACES-member agency as supporting documentation.
E-3 Visa Senior Staff Data Engineer: Frequently Asked Questions
How do I find Senior Staff Data Engineer jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. You can filter by job title and visa type to surface employers who have a history of sponsoring Australian workers, which saves you from applying to companies that will decline sponsorship after an offer.
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 Senior Staff Data Engineer role qualify as a specialty occupation for the E-3?
Yes. Senior Staff Data Engineer positions require a bachelor's degree or higher in a specific technical field such as computer science, software engineering, or data science, which satisfies the DOL's specialty occupation definition. Roles that emphasize platform architecture, data modeling, and cross-team technical leadership have a strong qualification profile for E-3 purposes.
How does the E-3 compare to the H-1B for a Senior Staff Data Engineer?
The H-1B enters an annual lottery with roughly a one-in-four selection rate, meaning you could wait years before securing status. The E-3 has no lottery and an annual allocation of 10,500 that has never been filled, so an Australian with a qualifying job offer and degree can proceed directly to a consular appointment without any lottery risk.
Can I change employers or move to a contract role while on E-3 status as a data engineer?
You can change employers, but each new position requires a fresh LCA and a new E-3 visa stamp if you travel internationally before the change takes effect. Contract or consulting arrangements are permissible if the contracting entity is the legal employer on the LCA, but third-party staffing arrangements where the end client controls your day-to-day work can raise issues at the consulate.