Know where you belong. Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.
We’re looking for a Sr. Data Engineer to join our MG Core Data team. The team at Match Group is responsible primarily for two things:
• Architect and engineer new data systems and reporting to help facilitate business decision- making.
• Maintain and modify existing data systems that offer reporting based decision-making.
The MG Core Data team is a service organization that caters and delivers reporting solutions to the entire Match Group enterprise. As part of the Data team, each individual holds a breadth of platform-agnostic knowledge and collaborates with other team members to provide enterprise level solutions for Marketing, Product, Finance, Accounting, Strategy etc. Furthermore, the MG Core Data team is responsible not only for all aspects of transforming and delivering raw data into a presentable and actionable format, but they are also well-versed in how key data points affect business decision-making and provide an extra level of insight outside of analytics teams. Being part of the MG Core Data team means being at the crossroads of both the business and the technology, and understanding of how both relate to each other is key.
This role is key to the success of Match Group. Not only will they help power the love lives of many people, but they will play a critical part in the functioning of every team at Match Group (Tinder, Hinge, Match, Okcupid, PlentyofFish, BLK, Chispa and other brands), with stakeholders ranging from customer experience to marketing to leadership. The Senior Data Engineer will be implementing critical ETL pipelines and advancing best practices for not only the data engineering team, but the rest of the organization. They will be working on delivering an actual big data architecture while concentrating on real-world problems such as privacy concerns. This position can be based in either our Dallas, TX or Vancouver, Canada office. The role follows a hybrid schedule of three days in the office and two days remote each week.

Please refer the Job description for details