VP, Data Engineering in Los Angeles County

About

The VP, Data Engineering, role is a hands-on opportunity to design and implement Company’s large-scale data acquisition pipeline. This will directly impact the future valuation of the company as it scales past the current point of inflection and works towards moments of step growth events in the next few years.

The company has been very successful to-date at proving the business model at limited scale. The next step in the company’s evolution is to demonstrate this success at scale, ramping up operations 5x – 10x or more. To succeed, it is imperative that we deepen our knowledge of the YouTube content ecosystem and improve our forecasting technology based on large scale historical data. This will be one of the company’s strategic differentiators, offering up diverse new opportunities to further our first-mover advantage and consolidate our position as the industry leader.

Responsibilities

• Research, architect, and develop new applications for data capture and processing in the scale of 100’s of millions of records
• Explore opportunities and relationships in available data sources leading to new insights and value

• Develop, test, performance test, and deploy new data-centric applications responsible for data capture and processing business-specific workflows
• Continuously improve the resilience and reliability of data collection and processing
• Work closely with engineers throughout the organization to identify and implement tools and processes for data collection, transport and processing
• Communicate with the dev engineers, operations, and analytics engineers who use our applications and platforms to both explain functionality and gather requirements for new projects

Qualifications/Skills

• BS in a technical discipline, preferably Computer Science/Engineering, MS preferred
• Strong programming and scripting background (preferably Go / Python) within a Linux environment
• Familiar with Linux operating system and command line tools
• Programming experience with SQL/ PostgreSQL, Redshift preferred
• Experience with data acquisition applications from web sites and social media in the scale of 100’s of millions of records (including API’s and web scraping)
• Experience with AWS services including EC2, S3, Redshift
• Experience with large volumes of data
• Experience in learning new technologies and developing new applications to solve large data problems
• Experience building, working with and deploying data consumers / producers, pipelines, and distributed systems
• Flexible, creative, agile approach to collaboration and development

Preferred

• Experience with complex REST APIs, including Google and YouTube
• Some experience and/or interest in applied ML, AI, Deep Learning applications (NLP, RNN, CV/Image Processing) in production (i.e. Tesnsorflow, PyTorch, Keras, etc.)
• Familiar with Jupyter Notebooks and pure Python 3.x.
• Experience with Google GCP services, Big Query, Google Cloud Storage
• Experience with Google OAuth 2.0
• Familiarity with Visual Studio/C#

Personal Attributes

• Extreme and obsessive attention to detail
• Best-in-class analytical/critical/creative thinking skills
• Innovative and flexible approach to collaboration and development
• Ability to thrive in entrepreneurial environments with multiple projects and constantly changing priorities
• Work independently/remotely with little oversight
• Forge relationships at all levels of the company