As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.

Data Engineer, Product Analytics Responsibilities

• Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems


• Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve


• Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way


• Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership


• Design, build and launch new data models and visualizations in production, leveraging common development toolkits


• Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries


• Support existing processes running in production and implement optimized solutions with limited guidance


• Define and manage SLA for data sets in allocated areas of ownership

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.


• 2+ years of work experience in data engineering


• Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications

• Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy


• Experience working with terabyte to petabyte scale data

Start preparing
Learn about how to prepare for your interview with our interview guide, tips, and interactive experiences.
Visit interview prep