Analytics Engineer Jobs at Hopper with Visa Sponsorship
Hopper's analytics engineering roles sit at the intersection of travel data and product decision-making, supporting a platform used by millions of travelers. Hopper has a track record of sponsoring international talent for these positions, making it a realistic target for H-1B and Green Card applicants with strong data engineering backgrounds.
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Get Access To All JobsAbout The Team
Hopper's Fintech Foundation team sits at the centre of the company's mission: reshaping how more than 100 million monthly active users experience travel. It owns the pricing engine that balances customer demand against financial risk across dozens of partners — including Capital One, Air Canada, and Spirit Airlines. As an ML engineer on this team, you will directly shape how Hopper prices ancillary products in real time and at scale.
About The Role
As a Software Engineer on the Fintech Foundation team, you will design, build, and evolve the machine learning systems that power Hopper's pricing engine. Your work will have direct impact on revenue, financial risk management, and the customer experience across the full partner portfolio. You will work closely with the Data Science, Engineering, and Product teams to deliver pricing solutions that are reliable, scalable, and oriented toward commercial outcomes.
What Would Your Day-to-day Look Like
- Design and implement automated, reusable training pipelines to ensure consistent, scalable model delivery across the partner portfolio
- Build ETL pipelines with thoughtful feature engineering to guarantee clean, reliable inputs for pricing models
- Develop and deploy real-time ML pricing solutions to production, owning the full path from model to live environment
- Monitor production systems for latency, drift, and training-serving skew, optimising continuously to maintain model integrity
- Run champion-challenger tests on pricing and product construction levers to surface improvements and respond to shifting market conditions
- Partner with data scientists, engineers, and product stakeholders to translate business needs into well-scoped technical solutions
An ideal candidate has
- 5+ years of experience in a similar role, ideally within production ML systems or large-scale pricing platforms
- Proficiency in Python, Scala, and SQL, applied to production ML systems rather than exploratory work
- Experience in data modelling, software architecture, and distributed data processing frameworks at scale
- Deep understanding of ML algorithms and when to apply them in the context of pricing, demand forecasting, or similar commercial domains
- Strong analytical instincts and attention to detail, with a track record of catching issues before they reach production
- A product mindset that keeps the customer outcome in view, even when the work is deeply technical
- Clear, collaborative communication skills that hold up across data science, engineering, and business stakeholder audiences
Perks And Benefits Of Working With Us
- Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages.
- Unlimited PTO.
- Carrot Cash travel stipend.
- Access to co-working space on demand through FlexDesk AND Work-from-home stipend.
- Please ask us about our very generous parental leave, much above industry standards!.
- Entrepreneurial culture where pushing limits and taking risks is everyday business.
- Open communication with management and company leadership.
- Small, dynamic teams = massive impact.
- 100% employer paid Medical, Dental and Vision coverage for employees.
- Access to Disability & Life insurance.
- Health Reimbursement Account (HRA).
- DCA/ FSA and access to 401k plan.
More about Hopper
At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. The Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world’s largest brands. Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more.
Here are just a few stats that demonstrate the company’s recent growth:
- Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS’ channels every year.
- Our fintech products – including Cancel for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions.
- Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel.
- Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business.
- Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more.
- Hopper has been named the #1 most innovative company in travel by Fast Company. Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agencies in North America and 70% of our app customers are Gen-Z and millennials travelers.
- Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials. Come take off with us!
Compensation Range: $110K - $250K
About The Team
Hopper's Fintech Foundation team sits at the centre of the company's mission: reshaping how more than 100 million monthly active users experience travel. It owns the pricing engine that balances customer demand against financial risk across dozens of partners — including Capital One, Air Canada, and Spirit Airlines. As an ML engineer on this team, you will directly shape how Hopper prices ancillary products in real time and at scale.
About The Role
As a Software Engineer on the Fintech Foundation team, you will design, build, and evolve the machine learning systems that power Hopper's pricing engine. Your work will have direct impact on revenue, financial risk management, and the customer experience across the full partner portfolio. You will work closely with the Data Science, Engineering, and Product teams to deliver pricing solutions that are reliable, scalable, and oriented toward commercial outcomes.
What Would Your Day-to-day Look Like
- Design and implement automated, reusable training pipelines to ensure consistent, scalable model delivery across the partner portfolio
- Build ETL pipelines with thoughtful feature engineering to guarantee clean, reliable inputs for pricing models
- Develop and deploy real-time ML pricing solutions to production, owning the full path from model to live environment
- Monitor production systems for latency, drift, and training-serving skew, optimising continuously to maintain model integrity
- Run champion-challenger tests on pricing and product construction levers to surface improvements and respond to shifting market conditions
- Partner with data scientists, engineers, and product stakeholders to translate business needs into well-scoped technical solutions
An ideal candidate has
- 5+ years of experience in a similar role, ideally within production ML systems or large-scale pricing platforms
- Proficiency in Python, Scala, and SQL, applied to production ML systems rather than exploratory work
- Experience in data modelling, software architecture, and distributed data processing frameworks at scale
- Deep understanding of ML algorithms and when to apply them in the context of pricing, demand forecasting, or similar commercial domains
- Strong analytical instincts and attention to detail, with a track record of catching issues before they reach production
- A product mindset that keeps the customer outcome in view, even when the work is deeply technical
- Clear, collaborative communication skills that hold up across data science, engineering, and business stakeholder audiences
Perks And Benefits Of Working With Us
- Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages.
- Unlimited PTO.
- Carrot Cash travel stipend.
- Access to co-working space on demand through FlexDesk AND Work-from-home stipend.
- Please ask us about our very generous parental leave, much above industry standards!.
- Entrepreneurial culture where pushing limits and taking risks is everyday business.
- Open communication with management and company leadership.
- Small, dynamic teams = massive impact.
- 100% employer paid Medical, Dental and Vision coverage for employees.
- Access to Disability & Life insurance.
- Health Reimbursement Account (HRA).
- DCA/ FSA and access to 401k plan.
More about Hopper
At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. The Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world’s largest brands. Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more.
Here are just a few stats that demonstrate the company’s recent growth:
- Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS’ channels every year.
- Our fintech products – including Cancel for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions.
- Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel.
- Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business.
- Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more.
- Hopper has been named the #1 most innovative company in travel by Fast Company. Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agencies in North America and 70% of our app customers are Gen-Z and millennials travelers.
- Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials. Come take off with us!
Compensation Range: $110K - $250K
See all 44+ Analytics Engineer at Hopper jobs
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Get Access To All JobsTips for Finding Analytics Engineer Jobs at Hopper Jobs
Align your portfolio with travel data problems
Hopper's analytics work centers on pricing models, demand forecasting, and booking funnel analysis. Frame your portfolio projects around time-series data, behavioral analytics, or marketplace optimization to signal you can contribute from day one.
Target roles requiring dbt and modern data stacks
Hopper's analytics engineering openings consistently emphasize dbt, Snowflake, and Airflow. Certifications or public GitHub projects demonstrating these tools give your application a concrete technical signal that hiring managers are specifically screening for.
Clarify your visa status early in recruiter screens
Hopper operates multiple engineering hubs, so your eligibility to work at a specific location matters. State your current status and whether you need H-1B transfer or new cap sponsorship before the technical round to avoid late-stage surprises.
Request a PERM timeline conversation during offer negotiation
If your goal is a Green Card, ask directly whether Hopper initiates PERM for analytics engineers at the offer stage. Understanding whether the company starts PERM in year one or year two affects your long-term planning significantly.
Verify your H-1B transfer window before resigning
If you're already on an H-1B with another employer, USCIS portability rules allow you to start at Hopper once the transfer petition is filed and receipted, without waiting for approval. Confirm your current I-94 status and remaining authorized period before giving notice.
Use Migrate Mate to surface Hopper's open analytics roles
Hopper's analytics engineering openings that include sponsorship are not always labeled consistently across job boards. Use Migrate Mate to filter specifically for Hopper roles verified for H-1B sponsorship so you're applying to positions where the pathway is confirmed.
Analytics Engineer at Hopper jobs are hiring across the US. Find yours.
Find Analytics Engineer at Hopper JobsFrequently Asked Questions
Does Hopper sponsor H-1B visas for Analytics Engineers?
Yes, Hopper sponsors H-1B visas for analytics engineering roles. The company files Labor Condition Applications with the DOL and has processed both new cap-subject petitions and H-1B transfers for existing visa holders. If you're already on an H-1B, a transfer to Hopper is typically the faster path since it doesn't require waiting for the annual lottery.
How do I apply for Analytics Engineer jobs at Hopper?
Apply directly through Hopper's careers page or through Migrate Mate, which filters for Hopper roles that include confirmed visa sponsorship. The process typically moves through an initial recruiter screen, a technical assessment focused on SQL and data modeling, and a final round that includes a case study or system design component relevant to travel marketplace data.
Which visa types does Hopper commonly sponsor for Analytics Engineers?
Hopper sponsors H-1B visas for analytics engineering positions and supports Green Card sponsorship through the EB-2 and EB-3 employment-based preference categories. EB-2 is typically used for roles requiring advanced degrees or specialized expertise, while EB-3 covers positions filled by professionals with a relevant bachelor's degree. Both pathways require PERM labor certification filed with the DOL before the immigrant petition.
What qualifications does Hopper expect for Analytics Engineer roles?
Hopper's analytics engineering positions generally require proficiency in SQL, experience with a modern data transformation tool like dbt, and familiarity with cloud data warehouses such as Snowflake or BigQuery. A background in analytics or data engineering is expected, typically with a degree in computer science, statistics, or a related quantitative field. Experience in marketplace, e-commerce, or travel data is a meaningful differentiator.
How long does the H-1B sponsorship process take at a company like Hopper?
For a new cap-subject H-1B, the process starts with the March lottery registration. If selected, USCIS standard processing takes three to five months, with premium processing available to reduce that to 15 business days. H-1B transfers for candidates already on a valid H-1B can begin on the day USCIS receipts the petition, allowing you to start without waiting for a full approval decision.
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