Data Platform Engineer

Data Platform Engineer

Philo is a reinvented television streaming service building the future of television. They are headquartered in San Francisco, but have offices in NYC and Cambridge, MA as well. Philo's CEO, Andrew McCollum, is actually a co-founder of Facebook with Mark Zuckerberg - basically, Philo is working to reinvent the television experience for the modern age, and create an amazing experience for their users to watch the shows they love.

Today, Philo offers a package of top-rated television channels for just $25 a month. You can watch live, save unlimited shows to watch later, or browse their huge library of content available on-demand. Their services can be streamed across all devices and the web.

Great work environment and culture, great benefits, and LOTS of backing from huge organizations like Discovery, Viacom, AMC, A&E, and HBO.

Cambridge, MA, NYC, and San Fran (all remote right now but must be willing to come in for Hybrid work eventually)

5-8 years of experience up to 175K, 8-10 years of experience up to 200K + 20-30K in Equity

Equity

Position summary:

You will be collaborating with a growing team of Data Scientists and Analysts. As the Data Platform Engineer you will be responsible for architecting their next generation data processing applications and reporting systems.

In this role, you will have the opportunity to build wholly new systems and services. They have some of the foundational elements in place for a modern data stack (Redshift, dbt, Segment, Kubernetes, Docker, Airbyte, Mode) and an active data science practice. They are looking for someone who can determine the next phase of the roadmap for the data platform and to build it -- for example: when to use a different orchestration tool, and when to be less dependent on (3rd party) libraries for client app event tracking.

They are looking to invest in ensuring that the core infrastructure (on which all of their research depends) is scalable, tested, robust, and able to evolve to meet their constantly changing data science needs.

They are looking for an engineer who enjoys being product-minded in the sense that they own a product from beginning to end by designing, constructing, integrating, testing, documenting, and supporting their creations.

Requirements:

• 5+ years of experience as a Data Engineer
• Highly proficient in at least one of these languages: Python, Ruby, and/or GoLang
• Experience working with Data Pipelines in a Cloud native environment (preferably AWS)
• Experience writing, testing, shipping, and maintaining clean production code within a collaborative and version-controlled (git) codebase
• Experience improving data processing CI/CD practices

Interview Process:

• First Round: 1 hour with Max (Talent Acquisition Manager) 30 mins with Scott (Head of Data)
• Second Round: Take home exercise they will send to Max directly via private Slack
• Third Round: 4 1-hour meetings in one day
• Final: Follow up with Scott and CTO for 1-hour