Sr. Data Engineer

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. We're located in Dallas, TX. We work from the office 3 day per week.

How you'll make an impact:

• Work with our Engineering teams to ensure data is flowing accurately through data creation to our presentation layers
• Become an advocate for the Data Engineering team by developing and championing Data Engineering practices with the team and with the company at large
• Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and building scalable/reliable solutions
• Work with stakeholders and translate their needs and expectations into action items and deliverables-
• Lead infrastructure initiatives, from design to implementation to delivery
• Support existing on-prem infrastructure and help expand our processes into the cloud (AWS/Databricks)

We could be a match if:

• Expertise in SQL, Data Modeling, Lakehouse Architecture, and Python
• Used Redshift, Airflow, AWS QuickSight, Databricks, Spark, and relational database like SQL Server
• Capability to drive initiatives and articulate their value to Engineering and other stakeholders
• Experience delivering data products from conception to delivery
• Good communication skills (written/verbal)
• Passionate about designing elegant ETL pipelines
• 7+ years of professional/industry experience