Senior Analytics Engineer
Salary
Salary range: $142,880—$178,600 USD
At Crunchyroll, our motto is simple - we champion the extraordinary by super-serving our super-fans. Say that 5 times fast! What better way to do so than by helping our millions of fans across the globe discover their next favorite show?
We are a team that takes on challenges. From supporting the reporting needs of a few partner teams way back in 2015, to building a widely used data platform that provides custom solutions to multiple downstream consumers today; our journey has been exciting, celebratory, and educational.
With our data platform, we now power reporting, personalization, analytics and other cross-functional integrations.
Our values as a team - we love opensource, encourage collaboration, value opinions and foster continuous learning.
About You:
We get excited about candidates, like you, because...
- 5+ years of ETL, building data pipelines schema design, data modeling and database programming
- 2+ years of experience with Amazon or similar cloud services
- 2+ years of experience in any programming language
- Experience with Petabyte Scale and high throughput (100K RPM+) fast streaming data
- Expert level SQL skills
- An analytical mindset and passion for solving business problems using data
- Experience with handling large data sources of varying types - structured/relational and unstructured
- Comfortable with using Linux/Unix systems
- Spark experience
- Experience with Customer Data Platforms like Segment/mParticle
- Experience with data tracking tools like SDK's, Google Tag Manager (GTM)
Pluses:
- 1+ years of Big & Fast Data engineering experience involving SaaS based mobile apps
A day in the life of our Engineer:
We are looking for a cross-functional engineer ready to join our data engineering team. In this role you will be building business-critical, robust and scalable data solutions that power financial reporting, self-serve analytics, user recommendations and marketing integrations. Additionally, working closely with the DevOPS team, you will function as a service owner that owns, manages and helps evolve the data infrastructure.
Stay informed about the latest analytics engineering opportunities. Subscribe to our weekly newsletter.