Data Engineer II

CLEAR - Corporate•New York, NY

16h•Onsite

About The Position

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. 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

Requirements

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

Responsibilities

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