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Senior Analytics Engineer

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Salary

The base salary range for this role is $175,000 - $215,000, depending on levels of skills and experience.

Today, CLEAR is well-known as a leader in digital and biometric identification, reducing friction for our members wherever an ID check is needed. We’re looking for an experienced Senior Analytics Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Senior Analytics Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core.

A brief highlight of our tech stack:

  • SQL / Python / Looker / Snowflake / Airflow / Databricks / Spark / dbt

What you'll do:

  • Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • Develop and maintain data pipelines to collect, clean, and transform data. Owning end to end data product from ingestion to visualization
  • Develop and implement data analytics models
  • Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems
  • Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR

What you're great at:

  • 6+ years of data engineering experience
  • Working with cloud-based application development, and be fluent in at least a few of:
    • Cloud services providers like AWS
    • Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc
    • Big data tools like Spark, Kafka, Snowflake, Databricks, etc
    • Collaboration, integration, and deployment tools like Github, Argo, and Jenkins
    • Data visualization tool like Looker, Tableau, etc
  • Articulating technical concepts to a mixed audience of technical and non-technical stakeholders
  • Collaborating and mentoring less experienced members of the team
  • Comfort with ambiguity
  • Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important

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