Tinder brings people together. With tens of millions of users, hundreds of millions of downloads, 2 billion swipes per day, hundreds of thousands of requests per second, 20 million matches per day and a presence in every country on earth, our reach is expansive—and rapidly growing.

Tinder is looking for an experienced engineer who's eager to design and implement the next generation of our data platform. Our growing business always has new needs for actionable information, and this gives us an exciting roadmap with high-value products ready to be designed and many more waiting to be identified. This role will involve working with large scale data pipelines in near-real-time, batch, and lambda frameworks.

We have always believed in using technology to foster innovation and form meaningful connections - despite physical distance. This position is available remotely within the US and/or when it is safe to re-open, can be located in our LA or Bay Area offices.

As a Senior Data Engineer, you will:

• Work on pipelines ingesting greater than 1gb per second
• Design, implement, and own software solutions for ingesting and exposing high volume data feeds
• Coordinate with engineering, analytics, and other teams to assess the cost and value of existing and potential projects
• Research and evaluate new technologies in the big data space to guide our continuous improvement
• Collaborate with multifunctional engineers across the company to help tune the performance of large data applications to drive cost savings

We’re looking for:

• 5+ years of experience working with a distributed framework like Spark, Flink, Kafka Streams, Dask, or Hadoop
• 1+ years of experience with ETL job orchestration, preferably with a feature-rich tool such as Airflow, Argo, or Rundeck
• 3+ years of experience working with Scala, Python, Java, or C#
• 5+ years ensuring the reliability of software and the integrity of large data stores in a production environment
• Exposure to a variety of databases and no-SQL appliances (Redshift, Snowflake, Druid, Dynamo, Cassandra, Kafka, Elastic Search, Hive, etc.)

Bonus points if you have:

• +1 years working with a streaming framework
• Competent building new data visualizations using an appliance (Grafana, Looker, Superset) or a lower-level framework (matplot, plotly, D3)
• Exposure to some predictive models and ML algorithms
• Experience managing a spark cluster
• Familiarity with Kubernetes and building Docker images
• DBA experience