Data Engineer (L5) - Content

Job Description:

You will partner with Data Science + Analytics teams who consume your data as inputs to analyses and models which predict performance for launched + unlaunched content. You will partner with Finance + Strategy teams who consume your data for reporting and to evaluate prospective content deals.

What You’ll Do

Analyze + understand the business

Become a subject matter expert in the streaming space, understanding: 

• Content deal structures + performance patterns

• The impact of acquisition + churn on financial outcomes

• How data can be leveraged as a competitive asset in the broader streaming environment

Scale that understanding through robust data products to drive informed decision-making

• Build data models that reflect your domain expertise, meet current business needs, and will remain flexible as strategy evolves

• Treat the company as your customer, analyzing stakeholder consumption of your data and iterating on design to improve their experience

• Team focus areas range across: managing robust content metadata, scaling measurement of the business value and member satisfaction driven by our content, innovating on data models + metrics for new business areas (e.g. live, ads, etc) 

What You Have

Big Picture Strengths

• Skill, appreciation, and patience for building detailed + performant data models and pipelines 

• Stakeholder empathy and curiosity, with a willingness to learn the nuances of your partners’ domain (e.g. amortization logic from accounting, ML model foundations from data science, quarterly earnings from FP&A) 

• Strong communication skills, with ability to calibrate the level of detail in your presentations to your audience while maintaining accuracy and impact

• Willingness to work in a fast-paced, demanding, and nebulous environment.  Love freedom and hate being micromanaged

Technical Strengths

• Fluency in SQL, Python, distributed processing (e.g., Spark, Flink), and orchestration frameworks

• Experience sourcing and modeling data from application APIs

• Comfort with MPP/Cloud data warehouse solutions (Snowflake, Redshift, BigQuery, Vertica, etc)

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.