Live experiences help make us human, bringing us across today’s social and digital divides to focus on what truly connects us - the here, the now, the once-in-a-lifetime moment that we share - together. To fulfill Gametime’s vision to unite the world through shared experiences, we deliver fans an extraordinary experience for enjoying, discovering, and purchasing last-minute tickets to live events.

With platforms on iOS, Android, mobile web, and desktop supporting events across the US and Canada, we are reimagining the event ticket experience in a mobile-first world.

It’s no secret that the events industry has been hit as hard by the COVID-19 pandemic. Sports, concerts, and theater were first to go back in March, and will likely be last to return. However, we are confident that the rebound is inevitable, and Gametime will be there to facilitate our nation’s need to get out there and connect with friends, family, and strangers alike. Our goal is to prepare for the upswing by developing brand new features while also strengthening our core ticketing product. Join us in helping ensure Gametime continues to be the leader in mobile ticketing.

As a Senior Data Engineer at Gametime, you will have the opportunity to work not only within the data team but across the entire business. You’ll be at the forefront of building scalable systems for product, marketing, engineering, finance, and customer support to handle the high volume of data we collect as one of the fastest-growing startups in the Bay Area.

What you'll do/own:

• Design and implement scalable data pipelines and data storage on AWS using Kinesis, Redshift, S3, and a Spark based streaming architecture
• Create scalable and low latency code for data products using MongoDB, Redis, Elasticsearch or similar
• Scale and maintain our Analytics Databases to power our dashboards
• Collaborate with our data scientists to productionize their models
• Implement Comprehensive Testing and Continuous Integration frameworks for schema, data, and functional processes/pipelines

Our ideal candidate has:

• BS in Computer Science or equivalent experience or field 
• At least 5 years experience using Redshift or a similar Data Warehouse
• At least 5 years experience programming, preferably with Python or Go
• Hands-on experience with SQL, ETL, Data Warehousing and Data Orchestration
• Familiarity with scheduling frameworks, preferably Airflow
• Familiarity with real-time/batch distributed systems like Kinesis, Kafka, Spark, professional experience with Redis and Elastic search
• Familiarity with business intelligence/analytics tools like Tableau or Periscope Data

What we can offer you:

• Flexible PTO
• Medical, dental, & vision insurance
• Life insurance and disability benefits
• 401K, HSA, pre-tax savings programs
• New equipment setup provided
• Wellness programs
• Tenure recognition