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Description:
Design, implement, and maintain pipelines using cloud technology to produce business critical data reliably and efficiently.
Translate business drivers and analytical use-cases into data products.
Create data visualizations for easy consumption of data insights.
Collaborate with Product, Engineering, and Business teams to develop data solutions for multiple use cases.
Explore new technologies and techniques to creatively solve business problems.
Drive the strategy for improved data quality within Pinterest.
Act as the liaison between business and engineering teams.
Telecommuting is permitted.
Requirements:
Master’s degree in Computer Science, Engineering, or a related quantitative discipline with two years of relevant experience.
Proficiency in Python, data visualization, data pipeline design, machine learning, deep learning, large-scale cloud infrastructure, Spark, data warehouse design, Presto, Hadoop, Kubernetes, and big data analytics.
Ability to gain special skills through academic coursework, scholastic achievement, or professional experience.
Benefits:
Salary range: $180,000.00 - $199,465.00 per annum.
Position eligible for equity.
Pinterest promotes an equitable, inclusive, and inspiring workplace.
US-based applicants only.
Commitment to diversity and equal opportunity employment.
Information on Pinterest's culture and benefits available for the position can be found here.