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About the Role

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.

Responsibilities

• 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.

Requirements

• 6+ years of data engineering experience with strong Python and SQL skills, including designing and operating scalable batch and/or streaming data pipelines and orchestration (e.g., Dagster, Airflow, Luigi, dbt, Snowflake, Spark, Kafka, Databricks, or similar technologies).
• Working with cloud-based application development and data platforms, including AWS services, modern data warehouses (e.g., Snowflake), evaluating different data platform integration tooling (e.g. APIs, CDC, batch ingestion, streaming) and collaboration/integration tools like GitHub, Argo, Jenkins, or equivalent.
• Designing and implementing robust data models and transformations in the data warehouse (e.g., dbt, Snowflake) as well as self-service tooling for the other members of the data platform team.
• Articulating technical concepts to mixed technical and non-technical audiences, collaborating across teams, mentoring less experienced engineers, and maintaining clarity in ambiguous problem spaces.
• Demonstrating curiosity about technology, a bias toward continuous learning, and a strong sense of ownership over architecture, quality, and process improvements in a fast-moving environment.

Skills

• Python
• SQL
• Data Engineering
• Data Pipelines
• Orchestration
• Dagster
• Airflow
• Luigi
• dbt
• Snowflake
• Spark
• Kafka
• Databricks
• Cloud-based application development
• AWS
• Data Warehousing
• GitHub
• Argo
• Jenkins

Location

• Onsite

Work Type

• Onsite

Experience Level

• Senior

Salary/Compensations

• $225,000 - $300,000

Benefits

• Meals and snacks
• Learning & development stipend and reimbursement programs
• Comprehensive healthcare plans
• Family building benefits (fertility and adoption/surrogacy support)
• Flexible time off
• Free OneMedical memberships for you and your dependents
• 401(k) retirement plan with employer match
• Restricted Stock Units (RSUs)
• Refresh equity grants

About the Company

• 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.

Equal Opportunity

• Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.
• 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.
• 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.