Data Engineer II: Scalable 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 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.