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

• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.


• Create and contribute to frameworks that improve the efficacy of logging 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 visually in a meaningful way.


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


• Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.


• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.


• Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.


• Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.


• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.


• Influence product and cross-functional teams to identify data opportunities to drive impact.


• Mentor team members by giving/receiving actionable feedback.

Minimum Qualifications

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


• 5+ years experience in the data warehouse space.


• 5+ years experience in custom ETL design, implementation and maintenance.


• 5+ years experience with object-oriented programming languages.


• 7+ years experience with schema design and dimensional data modeling.


• 7+ years experience in writing SQL statements.


• Experience analyzing data to identify gaps and inconsistencies.


• Experience managing and communicating data warehouse plans to internal clients.

Preferred Qualifications

• Master's or Ph.D degree in a STEM field


• 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


• Experience influencing product decisions with data.

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