E-3 Visa Data Engineering Intern Jobs
Data Engineering Intern roles in the U.S. qualify for E-3 visa sponsorship when the position requires a bachelor's degree in computer science, information systems, or a related field. The E-3 has no lottery and no annual cap, so your timeline depends on your employer's LCA filing speed, not luck.
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About Team
The Product Data Analytics Team analyzes a combination of product usage and product performance data to derive meaningful insights that would serve as a guide to better product and decision making for our business leaders. As a member of the data science team, you will work with diverse and highly collaborative teams of product managers, engineers, and other data analysts to drive product impact. You will be working on exciting and challenging projects, and convert the insights into real changes, for both new initiatives and scaled products. You are a self-starter who is excited about data, excels in product logic thinking, clear communication, and brings distinctive problem-solving skills and impeccable quantitative modeling experience. As a Data Scientist, you will be working on designing and monitoring core metrics, identifying the root causes for metric movements through deep dive into the models. The role will cover a wide range of model-driven solutions to deliver superior business outcomes through research and analyses. In particular, this role will leverage the causal structure of user behavior, identify trends and opportunities for user growth and great ecosystem, and guide the product team to make best decisions.
Responsibilities
- Leverage data to solve challenging business problems from full-spectrum of product and business lines, using analytical and statistical approaches.
- Build and improve applicable statistical models, e.g. LTV and ROI prediction, to guide user growth-related decisions.
- Initiate model-driven analysis to provide deep insights into various products. Catch the common rule of problems and establish the inter-product analytic paradigm.
- Work with Product, Operations, Engineering and cross-functional teams to drive product development through analytic, statistical, and algorithmic expertise.
- Design, run and analyze A/B experiments to inform and execute the product strategy, and ultimately improve the product and support business decisions.
Qualifications
Minimum Qualifications
- Master’s degree in a quantitative discipline (e.g. Statistics, Operations Research, Computational Biology, Computer Science, Mathematics, Economics).
- 5+ years of experience in statistical modeling (Regression, Classification, Clustering, etc.) and machine learning (deep learning), and experience in user level modeling.
- Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences.
- Proficiency in SQL, Python/R.
Preferred Qualifications
- Solid communication and collaboration skills with the ability to work effectively with internal teams in a diversified environment.
- Passion for the Internet industry and data analysis.
- Self-starter with the ability of acquiring an in-depth understanding of the relation between data and user experience/product growth.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy – a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $179200 - $374400 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
Responsibilities
About Team
The Product Data Analytics Team analyzes a combination of product usage and product performance data to derive meaningful insights that would serve as a guide to better product and decision making for our business leaders. As a member of the data science team, you will work with diverse and highly collaborative teams of product managers, engineers, and other data analysts to drive product impact. You will be working on exciting and challenging projects, and convert the insights into real changes, for both new initiatives and scaled products. You are a self-starter who is excited about data, excels in product logic thinking, clear communication, and brings distinctive problem-solving skills and impeccable quantitative modeling experience. As a Data Scientist, you will be working on designing and monitoring core metrics, identifying the root causes for metric movements through deep dive into the models. The role will cover a wide range of model-driven solutions to deliver superior business outcomes through research and analyses. In particular, this role will leverage the causal structure of user behavior, identify trends and opportunities for user growth and great ecosystem, and guide the product team to make best decisions.
Responsibilities
- Leverage data to solve challenging business problems from full-spectrum of product and business lines, using analytical and statistical approaches.
- Build and improve applicable statistical models, e.g. LTV and ROI prediction, to guide user growth-related decisions.
- Initiate model-driven analysis to provide deep insights into various products. Catch the common rule of problems and establish the inter-product analytic paradigm.
- Work with Product, Operations, Engineering and cross-functional teams to drive product development through analytic, statistical, and algorithmic expertise.
- Design, run and analyze A/B experiments to inform and execute the product strategy, and ultimately improve the product and support business decisions.
Qualifications
Minimum Qualifications
- Master’s degree in a quantitative discipline (e.g. Statistics, Operations Research, Computational Biology, Computer Science, Mathematics, Economics).
- 5+ years of experience in statistical modeling (Regression, Classification, Clustering, etc.) and machine learning (deep learning), and experience in user level modeling.
- Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences.
- Proficiency in SQL, Python/R.
Preferred Qualifications
- Solid communication and collaboration skills with the ability to work effectively with internal teams in a diversified environment.
- Passion for the Internet industry and data analysis.
- Self-starter with the ability of acquiring an in-depth understanding of the relation between data and user experience/product growth.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy – a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $179200 - $374400 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
See all 2,481+ E-3 Visa Data Engineering Intern Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Engineering Intern Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Engineering Intern
Align your degree to the role description
Internship postings sometimes list a degree as 'preferred' rather than 'required.' E-3 visa eligibility depends on a degree requirement, so ask the recruiter to confirm the role is classified as a specialty occupation before you progress.
Target employers enrolled in E-Verify
Some tech employers require E-Verify enrollment before hiring international interns. Check with your recruiter early, E-Verify enrollment is a separate process from the LCA and can add lead time before your start date.
Search for E-3 sponsorship on Migrate Mate
Most generic job boards don't filter by visa sponsorship type. Migrate Mate lets you search specifically for Data Engineering Intern roles where employers have active E-3 sponsorship history, saving you time on outreach.
Request your LCA before resigning from current work
Your employer must file the Labor Condition Application with DOL and receive certification before you can attend your consulate appointment. Build at least two to three weeks of LCA processing time into your transition plan.
Confirm your Australian three-year degree is accepted
USCIS recognizes Australian three-year bachelor's degrees as equivalent to U.S. four-year degrees for E-3 purposes. Carry your academic transcripts and, if requested, a credential evaluation letter to your consulate appointment.
Use Migrate Mate's E-3 filing service for the paperwork
Internship offers move fast and LCA errors cause delays. Migrate Mate's E-3 filing service manages your LCA submission, DS-160, and consulate preparation end-to-end so you don't lose your offer to a paperwork mistake.
E-3 Visa Data Engineering Intern: Frequently Asked Questions
Where can I find Data Engineering Intern jobs with E-3 visa sponsorship?
Migrate Mate is the recommended starting point, it filters Data Engineering Intern listings specifically for roles where employers are willing to provide E-3 visa sponsorship for Australian nationals. Most general job boards don't surface sponsorship willingness at the search level, which means you'd otherwise need to individually confirm each employer's position before applying.
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 Data Engineering Intern role qualify as a specialty occupation for the E-3?
It can, but not automatically. The role must require at least a bachelor's degree in a specific field such as computer science, data science, or information systems, not just any degree. If the job description says a degree is 'preferred' or 'a plus,' that language won't support an E-3 application. Ask the employer to confirm the degree requirement in writing before the LCA is filed.
How does the E-3 compare to the H-1B for Data Engineering Intern roles?
The E-3 has a significant practical advantage for internships: there's no lottery and no cap, so your start date depends only on how quickly the employer files the LCA and you complete your consulate appointment. H-1B visa has an annual cap of 85,000 slots selected by lottery, which makes it unsuitable for time-sensitive intern placements. The E-3 is available year-round and can be processed in weeks rather than months.
Can I convert an E-3 internship into full-time sponsorship after graduation?
Yes. If the employer wants to hire you full-time after the internship, they file a new LCA for the full-time role and you attend another consulate appointment. The E-3 is renewable indefinitely in two-year increments, so there's no built-in expiration on your ability to keep working for that employer as long as the specialty occupation requirement is met.