Data Analytics Engineer Jobs at SentiLink with Visa Sponsorship
Data Analytics Engineer jobs at SentiLink involve work at the intersection of data pipelines, identity risk modeling, and product intelligence, as the company builds fraud detection infrastructure used across financial services. The company has a track record of sponsoring work visas for technical roles, making it a realistic target for international candidates in data engineering.
Find Data Analytics Engineer Jobs at SentiLinkOverview
Showing 5 of 24+ Data Analytics Engineer Jobs at SentiLink
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 Data Analytics Engineer Jobs at SentiLink
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer Jobs at SentiLink.
Get Access To All JobsINTRODUCTION
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States, replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE
As a Data Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. This role is designed for new PhD graduates or early-career researchers interested in applying machine learning to real-world fraud detection. You'll build and ship machine learning models in a production environment, gaining hands-on experience across the full ML lifecycle, from research and development to deployment at scale. If you're looking for real-world AI and ML exposure in an industry setting, not just research papers, this is it.
We Have Open Roles On Multiple Teams Including
- Emerging Products - focuses on 0-to-1 development of new offerings brought to market
- Application Fraud - analyzes the foundational elements of consumer financial applications to detect all forms of fraud
- Identity - resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information
You will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking, and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies. This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices.
TECHNOLOGIES:
Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
Responsibilities
- Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
- Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
- Research new types of fraud and develop new SentiLink products around identity verification.
- Achieve success by researching/developing through iteration, integration of new data sources, and inventive feature engineering.
- Write production-ready code that can be relied on for real-time decision making by our partners.
- Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
- Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access.
REQUIREMENTS
- Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research
- Strong foundation in machine learning, statistics, or applied data science
- Experience with Python and common data science tools through coursework, research, internships, or personal projects
- Demonstrated ability to analyze complex problems and build data-driven solutions
- Strong communication skills and ability to explain technical ideas clearly
- Interest in learning deeply about fraud, identity, and financial risk systems
- Ability to write clean, maintainable code
- Strong attention to detail and curiosity about real-world data problems
- Candidates must be legally authorized to work in the United States and must live in the United States
- Thrive in a fast-paced environment characterized by the need to solve extremely varied, high impact, open-ended problems
SALARY RANGE
$120,000/year - $220,000/year + equity + benefits
Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.
PERKS
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
CORPORATE VALUES
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
INTRODUCTION
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States, replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE
As a Data Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. This role is designed for new PhD graduates or early-career researchers interested in applying machine learning to real-world fraud detection. You'll build and ship machine learning models in a production environment, gaining hands-on experience across the full ML lifecycle, from research and development to deployment at scale. If you're looking for real-world AI and ML exposure in an industry setting, not just research papers, this is it.
We Have Open Roles On Multiple Teams Including
- Emerging Products - focuses on 0-to-1 development of new offerings brought to market
- Application Fraud - analyzes the foundational elements of consumer financial applications to detect all forms of fraud
- Identity - resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information
You will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking, and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies. This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices.
TECHNOLOGIES:
Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
Responsibilities
- Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
- Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
- Research new types of fraud and develop new SentiLink products around identity verification.
- Achieve success by researching/developing through iteration, integration of new data sources, and inventive feature engineering.
- Write production-ready code that can be relied on for real-time decision making by our partners.
- Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
- Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access.
REQUIREMENTS
- Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research
- Strong foundation in machine learning, statistics, or applied data science
- Experience with Python and common data science tools through coursework, research, internships, or personal projects
- Demonstrated ability to analyze complex problems and build data-driven solutions
- Strong communication skills and ability to explain technical ideas clearly
- Interest in learning deeply about fraud, identity, and financial risk systems
- Ability to write clean, maintainable code
- Strong attention to detail and curiosity about real-world data problems
- Candidates must be legally authorized to work in the United States and must live in the United States
- Thrive in a fast-paced environment characterized by the need to solve extremely varied, high impact, open-ended problems
SALARY RANGE
$120,000/year - $220,000/year + equity + benefits
Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.
PERKS
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
CORPORATE VALUES
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
See all Data Analytics Engineer Jobs at SentiLink
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer Jobs at SentiLink.
Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at SentiLink
Align your resume to fraud detection workflows
SentiLink's data work centers on identity verification and risk scoring, not general business analytics. Highlight experience with structured and unstructured fraud signals, SQL-heavy pipelines, and data modeling for real-time or near-real-time systems before you apply.
Verify your OPT timeline before accepting interviews
F-1 OPT gives you 12 months of work authorization, with a 24-month STEM extension available for qualifying degrees. Confirm your program's CIP code qualifies before relying on the extension as part of your sponsorship plan with SentiLink.
Ask explicitly about EB-2 versus EB-3 routing
SentiLink sponsors both EB-2 and EB-3 Green Card categories. During the offer stage, clarify which pathway your role qualifies for. EB-2 typically requires a more advanced degree or exceptional ability, while EB-3 covers most standard engineering positions.
Target roles where dbt and Snowflake appear in job requirements
SentiLink's data stack leans on modern tooling. Job postings that specify dbt, Snowflake, or Airflow signal active data infrastructure work, which is where sponsored Data Analytics Engineer headcount tends to concentrate.
Prepare for PERM labor certification delays
Green Card sponsorship at SentiLink follows the PERM process through DOL, which can take 12 to 18 months before an I-140 petition is even filed. Build that timeline into your planning, especially if your current status has a defined expiration.
Use Migrate Mate to filter open roles by visa type
Not every Data Analytics Engineer opening at SentiLink will include sponsorship language in the posting. Use Migrate Mate to surface and track SentiLink roles filtered by the visa types they've sponsored, so you're only investing time in positions that match your situation.
Frequently Asked Questions
Does SentiLink sponsor H-1B visas for Data Analytics Engineers?
SentiLink's sponsorship activity for Data Analytics Engineers has focused on F-1 OPT, TN visa, and employment-based Green Card categories rather than H-1B visa. That said, sponsorship decisions depend on the specific role, your background, and your current status. Raise the H-1B question directly with the recruiter early in the process to confirm what's available for the position you're targeting.
Which visa types does SentiLink commonly sponsor for Data Analytics Engineers?
For Data Analytics Engineer roles, SentiLink has sponsored F-1 OPT, TN visas for Canadian and Mexican nationals, and employment-based Green Cards under EB-2 and EB-3 categories. TN eligibility for data engineering roles typically requires a computer science or engineering degree and a qualifying job offer. F-1 STEM OPT is often the bridge while longer-term sponsorship is arranged.
What qualifications and experience does SentiLink expect for Data Analytics Engineer roles?
SentiLink typically looks for candidates with strong SQL skills, experience building and maintaining data pipelines, and familiarity with cloud data warehouses such as Snowflake or BigQuery. Exposure to fraud detection, identity risk, or financial services data is a genuine differentiator here. A bachelor's degree in computer science, statistics, or a related field is the baseline; advanced degrees strengthen EB-2 eligibility if Green Card sponsorship is on your path.
How do I apply for Data Analytics Engineer jobs at SentiLink?
You can find and track open Data Analytics Engineer positions at SentiLink through Migrate Mate, which filters roles by visa sponsorship type so you can confirm eligibility before applying. When you apply, tailor your materials to SentiLink's fraud detection and risk infrastructure context. Reference specific tooling from the job description and be direct about your visa situation early in the recruiter screen.
How do I plan my timeline if SentiLink offers Green Card sponsorship?
Green Card sponsorship through SentiLink follows the PERM labor certification process administered by DOL, which alone can run 12 to 18 months. An I-140 petition with USCIS follows, and priority date backlog can add years for some nationalities. Start your status planning early, particularly if you're on F-1 OPT or TN, since both have defined end dates that may not align with Green Card approval timelines.