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CLEAR - Corporate

Data Engineer II, Analytics & Modeling

New York, NY, United States$180k–$220kmidAdded 3 days ago

About this role

CLEAR seeks a Data Engineer II to design and build scalable data systems that enable self-service analytics for teams working with secure identity data. You'll own end-to-end data pipelines from ingestion through visualization, using modern tools like Snowflake, dbt, and Python to support product innovation and analytics.

What you'll do

  • Design and build scalable data systems enabling self-service changes for analysts and engineers
  • Develop and maintain data pipelines for collection, cleaning, and transformation with end-to-end ownership
  • Create data transformation processes, metadata management, and dependency/workload orchestration
  • Develop analytics models and data structures supporting business insights
  • Partner with product and stakeholders to uncover requirements and solve complex problems
  • Make architectural decisions and drive continuous improvement in technology and processes

What they're looking for

  • SQL and Python
  • Data pipeline orchestration (Airflow, Dagster, or similar)
  • Snowflake or other cloud data warehouses
  • dbt and data transformation
  • AWS or cloud services
  • Looker or data visualization tools
  • Big data tools (Spark, Kafka, Databricks)
  • GitHub, Argo, Jenkins, or CI/CD tools

Benefits

  • Comprehensive healthcare plans including OneMedical
  • Family-building benefits (fertility, adoption, surrogacy support)
  • Flexible time off and annual wellness stipend
  • 401(k) retirement plan with employer match
  • CLEAR Plus membership
  • Learning and development stipends and reimbursement
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CLEAR - Corporate

CLEAR operates a secure identity platform serving 38+ million members across travel, enterprise, and financial services. The company is hiring fullstack and infrastructure software engineers to build and maintain scalable systems, with a focus on deployment processes, cloud infrastructure, and end-to-end technical project ownership.

Website
clearme.com
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Likely interview questions

  • Walk us through your experience designing a data pipeline from scratch—what were the key architectural decisions you made and why?
  • How have you approached building self-service data systems, and what tools or patterns did you use to enable non-engineers to make safe changes?
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