The Difference You Will Make:
As a Senior Analytics Engineer, you will bring a unique lens to our data strategy and provide in-depth technical expertise to the team. We are looking for someone with hands-on experience in data modeling, metric development, and large-scale distributed data processing frameworks like Trino and Spark. Using these tools, along with first-class internal data tooling, you will scale product and AI/ML team’s capabilities to unlock insights and develop high quality models.
A Typical Day:
- 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
Your Expertise:
- 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
How We'll Take Care of You:
Pay Range
$213,500 USD