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Senior Analytics Engineer, Guest Data



1mo ago

Applications are closed

  • Job
    Senior & Expert Level
  • Data
  • $155K - $195K


  • 5-9+ years of experience with a BS/Masters or 2+ years with a PhD
  • Expertise in SQL and proficient in at least one data engineering language, such as Python or Scala
  • Experience with Superset and Tableau
  • Experience with Event Logging modeling
  • Expertise in large-scale distributed data processing frameworks like Presto or Spark
  • Experience with an ETL framework like Airflow
  • Clear and mature communication skills: ability to distill complex ideas for technical and non-technical stakeholders
  • Strong capability to forge trusted partnerships across working teams
  • Nice to have:
  • Designing high quality visualization tools
  • Scaling data tasks via automation


  • Develop high quality data assets for product use-cases
  • Develop frameworks and tools to scale insight generation to meet critical business and product requirements
  • Collaborate and build strong partnerships with Product, AI/ML and Data Science.
  • Influence the trajectory of data in decision making
  • Improve trust in our data by championing for data quality across the stack
  • Influence event logging instrumentation best practices and participate in architecture designs


What technical expertise is required for the role of Senior Analytics Engineer, Guest Data?

The ideal candidate for this role should have hands-on experience in data modeling, metric development, and large-scale distributed data processing frameworks like Trino and Spark.

How will the Senior Analytics Engineer contribute to the data strategy of the team?

The Senior Analytics Engineer will bring a unique perspective to the team's data strategy by providing in-depth technical expertise and leveraging tools like Trino, Spark, and internal data tooling to scale product capabilities and unlock insights.

What are the key responsibilities of the Senior Analytics Engineer in this role?

The key responsibilities of the Senior Analytics Engineer include developing data models, creating metrics, working with large-scale distributed data processing frameworks, and scaling the team's capabilities to unlock insights and develop high quality models.

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Mission & Purpose

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  • Comprehensive health plans

  • Paid volunteer time

  • Healthy food and snacks

  • Generous parental and family leave

  • Learning and development

  • Annual travel and experiences credit