Senior Data Engineer
Match Group · Hybrid
MeritLog read this listing from Match Group's Lever job board and last checked it on September 10, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- $186,000 - $223,000
- Location
- New York, New York
- Occupation
- Database Architects(O*NET 15-1243.00)
- Company website
- career.hyperconnect.com
Hiring context
How this role compares at Match Group
Match Group has 74 live roles in MeritLog’s catalog across 10 job families, and 15 of them are in data & analytics. 41 of those listings publish a pay range, a disclosure rate of 55%.
This role's posted range of $186,000 - $223,000 sits above 65% of the 37 other Match Group roles quoted over the same currency and period.
Match Group concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: As a Senior Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge’s decision-making ability. The systems you help create, the problems you help solve, and the support of our analytical minds, will be pivotal to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of millions of people. As a Senior Data Engineer on the team, you will be improving core functionality and implementing critical pipelines that will not only aid the Data Engineering team but also the rest of the organization. You will be working on an actual big data architecture while concentrating on real-world problems.