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58 Wonder Data Engineer Jobs Hiring Near You

Wonder Group, INC

Staff, Systems Engineer

New York, NY

$208K - $216K/yr

Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix ... Data Translation: Partner with Product and Analytics to define data requirements, ensuring our ...

Wonder Group, Inc.

Senior Software Engineer

New York, NY · Hybrid

$17K - $183K/yr

Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix ... Real-time data visualization and event-driven architectures * Working with public cloud ...

Wonder Group, INC

Senior Software Engineer

New York, NY · Hybrid

$17K - $183K/yr

Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix ... Real-time data visualization and event-driven architectures * Working with public cloud ...

Wonder Group, Inc.

Senior Software Engineer

New York, NY · On-site

$17K - $183K/yr

Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix ... Real-time data visualization and event-driven architectures * Working with public cloud ...

Wonder Group, Inc.

Staff Engineer - AI

New York, NY · Hybrid

$225K/yr

Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix ... Serve as technical decision-maker for architectural choices with product-wide scope: data pipelines ...

Wonder Group, INC

Staff Engineer - AI

New York, NY · Hybrid

$225K/yr

Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix ... Serve as technical decision-maker for architectural choices with product-wide scope: data pipelines ...

Wonder Group, Inc.

Staff Engineer - AI

New York, NY · On-site

$225K/yr

Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix ... Serve as technical decision-maker for architectural choices with product-wide scope: data pipelines ...

Wonder Group, Inc.

Senior Software Engineer

New York, NY · On-site

$176K - $183K/yr

Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix ... You'll own features end-to-end: designing the data model, building the service, wiring up the API ...

Wonder Group, Inc.

Senior Software Engineer

New York, NY · On-site

$176K - $183K/yr

Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix ... You'll own features end-to-end: designing the data model, building the service, wiring up the API ...

Wonder Group, INC

Senior Software Engineer

New York, NY

$176K - $183K/yr

Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix ... You'll own features end-to-end: designing the data model, building the service, wiring up the API ...

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Wonder Jobs Information

Do workers at Wonder get paid breaks?

Sometimes. Only some people get paid breaks.
64% of people say they don’t get paid breaks.
Based on data from 14 people who took the Breakroom Quiz between January 2025 and April 2026.

Does Wonder pay people when they’re sick?

No. Most people don’t get paid when they’re sick.
68% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 19 people who took the Breakroom Quiz between December 2024 and April 2026.

At Wonder, are sick days and vacation days separate paid time off?

Only some people have separate paid time off for sick days and vacation.
64% of people say they have to use vacation days when they’re out sick.
Based on data from 11 people who took the Breakroom Quiz between June 2025 and February 2026.

Do people get paid time off at Wonder?

Most people get paid time off work.
94% of people say they get paid time off.
Based on data from 16 people who took the Breakroom Quiz between June 2025 and March 2026.

How far ahead of time do people find out their work schedule?

Most people find out their schedule less than four weeks ahead of time.
  • 32% of people with changing schedules find out their shifts one week or less ahead of time.
  • 21% of people with changing schedules find out their shifts two weeks ahead of time.
  • 37% of people with changing schedules find out their shifts three weeks ahead of time.
  • 11% of people with changing schedules find out their shifts four weeks or more ahead of time.

Based on data from 19 people who took the Breakroom Quiz between December 2024 and April 2026.

Do workers at Wonder worry about hours?

Some people worry about getting enough hours.
56% of people report they worry about getting enough hours.
Based on data from 16 people who took the Breakroom Quiz between January 2025 and April 2026.

Do Wonder workers get to choose the shifts they work?

Some people don’t get to choose which shifts they work.
44% report that they don’t have enough control over which shifts they work.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and April 2026.

How easy is it for Wonder workers to change shifts?

Most people find it easy to change shifts.
69% of people report that it’s easy to change shifts if they need to.
Based on data from 13 people who took the Breakroom Quiz between April 2025 and March 2026.

How easy is it to get time off at Wonder?

Some people find it hard to get time off.
43% of people report it’s hard to get time off.
Based on data from 14 people who took the Breakroom Quiz between January 2025 and April 2026.

Do Wonder managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
71% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and April 2026.

Do jobs at Wonder spill into time workers aren’t paid for?

Rarely. The job doesn't usually spill into unpaid time.
29% of people report that their job takes up time that they don’t get paid for.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and April 2026.

How easy is it to take sick days at Wonder?

Most people find it easy to take sick days.
72% of people report that it’s easy to take time off if they are sick.
Based on data from 18 people who took the Breakroom Quiz between December 2024 and April 2026.

Do people at Wonder feel treated with respect by their managers?

Most people feel treated with respect by their managers.
85% of people say they’re treated with respect by their managers.
Based on data from 20 people who took the Breakroom Quiz between December 2024 and April 2026.

Do people at Wonder get to take their breaks without interruption?

Most people get breaks without interruption.
86% of people report that they get to take their breaks without interruption.
Based on data from 14 people who took the Breakroom Quiz between January 2025 and December 2025.

Is it stressful to work at Wonder?

Some people feel stressed out here.
48% of people say they often feel stressed out at work.
Based on data from 21 people who took the Breakroom Quiz between January 2025 and April 2026.

Do people at Wonder enjoy their jobs?

Most people enjoy their job.
76% of people report they enjoy their job.
Based on data from 21 people who took the Breakroom Quiz between December 2024 and April 2026.

Do people at Wonder recommend working with their team?

Most people recommend working with their team.
70% of people report that they would recommend working with their immediate team to a friend.
Based on data from 23 people who took the Breakroom Quiz between December 2024 and April 2026.

Do people get enough training when they start at Wonder?

Most people got enough training when they started.
87% of people report they got enough training when they started working here.
Based on data from 23 people who took the Breakroom Quiz between December 2024 and April 2026.

Do people get support to advance at Wonder?

Only some people are given support to advance their career here.
In the last year, 50% of people report not being given support to advance their career here.
Based on data from 18 people who took the Breakroom Quiz between April 2025 and March 2026.

Do people think Wonder’s headquarters understands what’s happening where they work?

Some people think headquarters doesn’t understand what’s happening where they work.
63% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 19 people who took the Breakroom Quiz between December 2024 and April 2026.

Do workers feel well informed about how Wonder is doing?

Most people feel well informed about how the company is doing.
74% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 19 people who took the Breakroom Quiz between December 2024 and February 2026.
What other companies are hiring for Data Engineer jobs?
What are the most popular jobs at Wonder?
What are the most popular categories at Wonder?
Infographic showing various Data Engineer job openings at Wonder in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 98% Physical, and 2% Hybrid job distribution.
Senior Staff Data Scientist

Senior Staff Data Scientist

Wonder Group, Inc.

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago

Wonder rating

6.9

Company rating: 6.9 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

13th of 85 rated restaurants

Job description

About Grubhub
At Grubhub, we believe food is more than just a meal: It's a source of discovery, connection, and pure enjoyment. There's a time and place for every type of dish, from hidden neighborhood gems to tried-and-true favorites, and we exist to connect people with the food they love in all the ways they like to dig in. We've been at it since 2004, but now, as part of Wonder, Grubhub is operating with a renewed sense of momentum and the high-velocity energy of a powerhouse startup.
As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in more than 4,000 cities, creating the ultimate food experience by elevating online ordering through innovative restaurant technology, easy-to-use platforms, and an improved delivery experience. We are constantly finding new ways to innovate-from integrated grocery delivery with groceries powered by Instacart to exclusive loyalty programs. Join our team, based out of New York City, Chicago and Denver, and help us give our diners the exceptional value they deserve.
About the Opportunity
At Wonder Data Science, our mission is to build data science and machine learning systems that improve how our marketplace operates, how customers experience the platform, and how the business makes high-quality decisions. As a Senior Staff Data Scientist, you will go beyond individual problem solving - you will help shape the strategic direction of applied data science, mentor senior and junior scientists, and collaborate closely with engineering, product, operations, and business leaders to move our ML and analytics capabilities toward scalable, production-grade systems.
You will identify high-leverage opportunities across the business, including marketplace efficiency, customer experience, ETA accuracy, fulfillment reliability, pricing strategy, supply planning, demand forecasting, and operational performance. You will design statistically rigorous frameworks to understand causal impact, separate signal from noise, and guide business strategy through experimentation, measurement, and principled inference.
You will help define how we structure trade-offs like customer experience vs. operational efficiency, speed vs. cost, prediction accuracy vs. business impact, short-term metric movement vs. long-term marketplace health, and automation vs. human judgment. You'll prototype, experiment, influence architecture, and ensure we operationalize models and insights that actually move business metrics - not just analyses that look good offline.
The Impact You Will Make
  • Serve as a technical thought leader in Data Science - defining principles, frameworks, and best practices for how Wonder uses data, experimentation, and machine learning to improve customer, marketplace, and business outcomes.
  • Mentor and coach a growing team of Data Scientists and contribute to career development and technical excellence across the group.
  • Lead the exploration of interconnected marketplace systems, recognizing feedback loops between customer behavior, fulfillment reliability, ETA accuracy, pricing, supply planning, product experience, and business performance.
  • Develop causal inference and experimentation frameworks that help Wonder understand which product, operational, and marketplace changes truly drive business impact.
  • Partner with engineering to drive architecture decisions for shared data layers, feature pipelines, modeling APIs, experimentation infrastructure, and production ML services.
  • Define and implement robust experimentation strategies for changes that move business metrics in high-noise environments.
  • Champion business-impact-driven data science, integrating causal inference, experimentation, risk-aware modeling, and scalable production ML systems that learn and adapt.

What You Bring to the Table
  • 8+ years of industry experience with MS or 6+ years with PhD in Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Machine Learning, or a related quantitative field.
  • Proven experience applying data science and machine learning to complex business problems, such as marketplace optimization, customer experience, forecasting, personalization, pricing, supply/demand balancing, operational policy changes, or product experimentation.
  • Deep expertise in causal inference, experimentation, and statistical modeling, including methods such as A/B testing, difference-in-differences, regression discontinuity, instrumental variables, synthetic controls, uplift modeling, or causal impact analysis.
  • Strong intuition for business and product trade-offs - customer experience vs. efficiency, ETA confidence vs. conversion risk, fulfillment reliability vs. cost, marketplace growth vs. quality, and short-term optimization vs. long-term health.
  • Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code using object-oriented design.
  • Demonstrated ability to take data science, ML, or causal inference systems into production, partnering with engineering on architecture, deployment, and monitoring best practices.
  • Fluency in SQL or similar tools for directly interrogating production-scale datasets.
  • Experience mentoring and providing technical direction to other scientists, analysts, or engineers.

Got These? Even Better
  • Experience leading end-to-end design of data science, machine learning, measurement, or experimentation frameworks within marketplace, consumer product, fulfillment, logistics, pricing, forecasting, or operations systems.
  • Experience designing causal measurement strategies for complex systems where product, marketplace, and operational decisions interact across multiple layers.
  • Background in causal inference, econometrics, Bayesian modeling, experimental design, or observational measurement in high-noise environments.
  • Experience with applied experimentation frameworks, including A/B testing, power analysis, heterogeneous treatment effects, guardrail metrics, interference effects, and long-term impact measurement.
  • Experience building or influencing production ML systems that combine predictive modeling, causal measurement, experimentation, and business rules
  • Influence across disciplines - able to align product, engineering, operations, business, and data science around a cohesive ML, experimentation, and measurement strategy.
  • Experience defining strategy and technical roadmaps for data science, machine learning, experimentation, or causal inference platforms.

Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome-and encouraged-to be in the office up to 5 days a week if it works for you.
#LI-Hybrid
New York: $240,000 - $249,500 per year.
Illinois: $216,000 - $224,500 per year.
Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.
Benefits
We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.
A Final Note
At Wonder, we build the best teams by hiring with an objective lens - evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know.
We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.

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