Job description

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 43 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 What you'll do: 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 What you're great at: 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 How You’ll be Rewarded: At CLEAR, we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs. We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The total compensation range for this role is $180,000-$220,000, depending on levels of skills and experience. This range represents the combined base salary and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements. CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment. We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity. #LI-Onsite

Requirements

Must-haves

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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

gosqlpythonaws

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

401(K)

Wellness