Staff Data Engineer
Confirmed live in the last 24 hours
CLEAR

1,001-5,000 employees

Identity platform for secure, frictionless experiences
Company Overview
CLEAR is a leading company in the identity verification industry, offering a unique platform that enhances security and convenience in various sectors such as travel, healthcare, and digital services. The company's commitment to privacy and user control over personal data sets it apart from competitors, ensuring trust and transparency in its operations. With services like CLEAR Plus, which provides expedited entry at over 50 airports nationwide, CLEAR consistently demonstrates its ability to leverage technology to streamline everyday experiences.
Consumer Goods
Data & Analytics

Company Stage

N/A

Total Funding

$4.4B

Founded

2010

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

7%

1 year growth

44%

2 year growth

88%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Airflow
NoSQL
Apache Kafka
Snowflake
CategoriesNew
Data Engineering
Data & Analytics
Requirements
  • 7+ years of professional experience as a Data Engineer
  • Experience with a modern programming language, such as Python
  • Building a modern datastack, using tools such as dbt, Dagster, Airflow, Snowflake, et cetera
  • Experienced with RDBMS, NoSQL, and real-time streaming systems like Kafka or Pulsar
  • Excellent communication skills
  • Have worked with or built a data governance program
Responsibilities
  • Build partnerships with teams across CLEAR to ensure data solutions solve current and future use cases
  • Drive the migration to a modern data stack in which Analysts and Engineers can self-service changes in an automated, tested, and high-quality manner
  • Build data governance solutions into every part of the platform
  • Evangelize data and its use across CLEAR to make our decisions and products smarter