SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 225,000 - 300,000 / annual
CLEAR is building a secure identity platform serving 43+ million members globally, transforming how people live, work, and travel. As a Senior Software Engineer, Data, you will design, build, and operate the next generation of CLEAR's data platform and products, with a focus on privacy, security, and reliability.
Key responsibilities include:
• Build and operate scalable, reliable data systems and pipelines—from ingestion through modeling to visualization—enabling analysts and engineers to 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, owning 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, 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 the data platform and processes.
Success is measured by data reliability and SLAs (successful pipeline runs, freshness adherence, incident reduction), platform quality and efficiency (security findings reduction, IAM/secrets improvements, cost optimizations), and delivery throughput (lead time for new data sources, self-service adoption, roadmap delivery).
You bring 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 tools (Dagster, Airflow, Luigi, dbt, Snowflake, Spark, Kafka, Databricks). You have hands-on experience with cloud-based platforms (AWS), modern data warehouses (Snowflake), data integration tooling, and collaboration tools (GitHub, Argo, Jenkins). You excel at designing robust data models and transformations, building self-service tooling, articulating technical concepts to mixed audiences, mentoring less experienced engineers, and maintaining ownership over architecture and quality in fast-moving environments.
