Remote Staff Analytics Engineer

Summary

Join our Marketing Technology team as a Staff Analytics Engineer and bring your expertise in data modeling, metric development, and large-scale distributed data processing frameworks to drive significant business impact.

Requirements

• 9+ years of experience with a BS/Masters or 6+ 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
• 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

Responsibilities

• Develop high quality data assets for product and AI/ML 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

Preferred Qualifications

• Designing high quality visualization tools
• Scaling data tasks via automation
• Familiarity with experimentation and ML techniques