CLEAR

SeniorSoftwareEngineer,Data

$225–300k New York, New York, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer, Data at CLEAR. Skills: data engineering, Python, SQL, data pipelines, data modeling, cloud platforms, data warehouses. design, build, and operate the next generation of our data platform and products. Build and operate scalable, reliable data systems and pipelines – from ingestion to modeling to visualization”

What You'll Achieve.

Data reliability & SLAs; % successful pipeline runs; adherence to freshness SLAs for core datasets; reduction in data-related incidents impacting stakeholders; Platform quality & efficiency; Reduction in critical/high security and dependency findings; improvements in IAM/secrets posture; optimizations to infrastructure and job run costs; Delivery throughput & self-service enablement; Lead time from request to production for new data sources and models; adoption and effectiveness of self-service tooling; reduction in manual engineering support for common workflows; on-time delivery of roadmap initiatives

Industry & Context.

Problems you'll solve

maintaining clarity in ambiguous problem spaces

What They're Looking For.

Must Have

6+ years of data engineering experience, Python skills, SQL skills, designing and operating scalable batch and/or streaming data pipelines and orchestration, working with cloud-based application development and data platforms, modern data warehouses, collaboration/integration tools like GitHub, Argo, Jenkins, or equivalent, designing and implementing robust data models and transformations in the data warehouse, self-service tooling for the other members of the data platform team, articulating technical concepts to mixed technical and non-technical audiences, maintaining clarity in ambiguous problem spaces

Nice to Have

PhD preferred, specific ML framework experience, cloud platform certs

What You'll Do.

and operate the next generation of our data platform and products

Build and operate scalable

reliable data systems and pipelines – from ingestion to modeling to visualization

Develop and maintain end-to-end data products and pipelines (batch and/or streaming) that collect

own the infrastructure that powers them

Implement and maintain infrastructure-as-code

and shared developer tooling for data products

and cost posture of the data stack

Partner with product and other stakeholders to uncover requirements

make architectural decisions

and continuously improve our data platform and processes

How You'll Work.

Team & Collaboration

Partner with product and other stakeholders; collaborating across teams

Communication Scope

Articulating technical concepts to mixed technical and non-technical audiences

Process & Methodology

on-time delivery of roadmap initiatives

Full 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 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. As a Senior Software Engineer, Data, you will design, build, and operate the next generation of our data platform and products – going beyond ID to power a networked digital identity – while keeping member privacy, security, and reliability at the core. What you’ll do: Build and operate scalable, reliable data systems and pipelines – from ingestion to modeling to visualization – so Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner. Develop and maintain end-to-end data products and pipelines (batch and/or streaming) that collect, clean, transform, and model data, and own the infrastructure that powers them to unlock new business use cases and reporting. Implement and maintain infrastructure-as-code, CI/CD, and shared developer tooling for data products (e.g., Pulumi/Terraform, GitHub, orchestration tools like Dagster/Airflow) to make it easy and safe for teams to build, test, and ship changes across environments. Improve the security, compliance, and cost posture of the data stack through robust dependency management, IAM and secrets hardening, observability, and performance/cost optimizations. Partner with product and other stakeholders to uncover requirements, make architectural decisions, and continuously improve our data platform and processes. How you’ll measure success: Data reliability & SLAs: % successful pipeline runs, adherence to freshness SLAs for core datasets, and reduction in data-related incidents impacting stakeholders. Platform quality & efficiency: Reduction in cri

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