Responsibilities:
- Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers.
- Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more.
- Use your expertise in data modeling to design, build, and maintain our analytics data warehouse, which provides clean, accurate, and robust data sets that can be leveraged for reporting, analytics, and machine learning initiatives.
- Work with stakeholders and translate their needs and expectations into action items and deliverables.
- Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines.
- Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations.
What We're Looking For:
- 5+ years of professional/industry experience
- Proficient in Python, SQL, DevOps, and databases.
- 5+ years of professional/industry experience.
- Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes.
- Experience modeling data sets for different types of sources and business processes.
- Passionate about designing elegant data infrastructure, tooling, and pipelines.
- Familiarity with our stack: Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, AWS technologies (S3, Redshift), GCP technologies (Dataflow, BigQuery). and CI/CD technologies (CircleCI). Spark/Databricks a plus!
Skills Required
- 5+ years of professional/industry experience
- Proficient in Python, SQL, DevOps, and databases
- Experience delivering data products from conception to delivery
- Experience modeling data sets for different types of sources and business processes
- Familiarity with Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, AWS, GCP, and CI/CD
Match Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Match Group and has not been reviewed or approved by Match Group.
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Retirement Support — Employer matching on retirement savings and access to an employee stock purchase program are highlighted as standout elements. Feedback suggests this creates strong long-term financial support as part of total rewards.
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Parental & Family Support — Fully paid parental leave, fertility and family-forming support, and childcare resources are emphasized across materials. Feedback suggests these benefits meaningfully support different family needs.
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Leave & Time Off Breadth — Generous PTO, numerous paid holidays, wellness and volunteer time, and other special leave options are consistently described. Feedback suggests the breadth of time-off options helps sustain work-life balance.
Match Group Insights
What We Do
Match Group is home to some of the world’s most popular dating and social discovery apps, including Tinder, Hinge, Match, and more. Match Group’s mission is to spark meaningful connections for every single person worldwide. Our diverse portfolio of apps enables connections across a diverse range of ages, genders, backgrounds, and dating goals. Our services are available in over 40 languages to users all over the world.
Why Work With Us
Match Group is united by a mission to help people find meaningful connections and fight loneliness. We’re not just building products. We’re creating friendships, marriages, and families around the world. Our culture is fueled by purpose, creativity, and a passion for what we can build together.
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