Data Engineer II, Analytics & Modeling

Overview In this role you will design and build scalable data systems for a networked digital identity platform, enabling secure, self-serve analytics for analysts and engineers. You will own end-to-end data pipelines, data models, and architectural decisions, collaborating with product teams to solve complex problems while prioritizing privacy and security. This is a mission-driven opportunity to shape a next-generation data platform that supports frictionless, safe experiences. You’ll work with a modern tech stack and have room to grow through autonomous learning and cross-functional impact. Compensation / Benefitscatered lunchesfully stocked kitchenswellness stipendhealthcare plans401(k) with employer matchequity (RSUs) ResponsibilitiesBuild scalable, self-service data systems with automated testing and secure qualityDevelop data transformations, structures, metadata, dependencies, and workload managementCreate and maintain end-to-end data pipelines from ingestion to visualizationDevelop and implement data analytics models to support decision-makingPartner with product and stakeholders to gather requirements and drive innovationOwn architectural decisions and drive continuous improvement in technology and processes at CLEAR Key requirements4+ years of data engineering experienceExperience with cloud-based development and AWSProficiency with data pipeline orchestration tools (Airflow, Dagster, Luigi)Experience with big data tools (Spark, Kafka, Snowflake, Databricks)Experience with collaboration/deployment tools (Github, Argo, Jenkins)Experience with data visualization tools (Looker, Tableau)Strong communication, mentoring, and stakeholder collaboration skillsComfort with ambiguity and autonomous problem solvingCuriosity and continuous learning mindsetcollaborationmentoring less experienced team membersability to articulate technical concepts to mixed audiencesAWSAirflowDagster