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Data Engineer

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Onsite

Data Engineer

CLEAR

Data Engineer

Skills

SQL QueriesLookerBig DataData EngineeringTableauPythonData VisualizationKafkaSnowflakeDatabricksJenkinsData AnalysisAWSdbtGitHubApache Airflow

1 month ago

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Important information


Salary:

$180,000 – $220,000 / year

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

1 October 2026

What they need


Who you are

  • 4+ 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

What the job involves

  • We’re looking for a Data Engineer II 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 Data 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 / dbt
  • 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

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