Data Engineer II, Analytics & Modeling

CLEAR - Corporate; New York (NY); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Catered lunches

Fully stocked kitchens

Well-being stipend

OneMedical membership

401(k) with employer match

CLEAR Plus membership

Job summary

CLEAR is seeking a Data Engineer II to help build the next generation of data products, enabling a networked digital identity while prioritizing privacy and security.

You will design and deploy scalable data pipelines from ingestion to visualization, partner with product teams, and own architectural decisions to improve technology and processes.

The role offers a comprehensive compensation package and benefits, including catered lunches, well-being stipends, and equity opportunities.

Qualifications

• 4+ years of data engineering experience.
• Experience with cloud-based application development.
• Ability to articulate technical concepts to mixed audiences.
• Mentoring less experienced teammates and collaborating across teams.

Responsibilities

• Build a scalable data system for self-service, automated, secure data changes.
• Develop and maintain data pipelines from ingestion to visualization.
• Transform data and manage metadata, dependencies, and workloads.
• Develop analytics models and collaborate with product teams on requirements.
• Own architectural decisions and drive continuous improvement at CLEAR.
• Partner with stakeholders to solve complex data problems.

Skills

Collaboration

Mentoring

Ambiguity

Autonomy

Curiosity

Tools

Github

Argo

Jenkins

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:
• Collaboration, integration, and deployment tools like Github, Argo, and Jenkins
• 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.