C
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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