Senior Analytics Engineer
Description For Senior Analytics Engineer
At CLEAR, we are pioneers in digital and biometric identification, known for reducing friction wherever identity verification is needed. We're evolving further, building the next generation of products to go beyond ID, empowering our members to harness the power of a networked digital identity. As a Senior Analytics Engineer, you'll play a pivotal role in designing and enhancing our data platform, implementing MarTech products, and ensuring it supports data-driven insights while safeguarding member privacy and security.
Our tech stack includes SQL, Python, Looker, Snowflake, Airflow, Databricks, Spark, and dbt.
Key responsibilities:
- Design and maintain scalable, self-service data platforms
- Develop robust processes for data transformation and management
- Own and manage end-to-end data pipelines
- Collaborate with stakeholders to deliver actionable insights
- Lead development of data models and analytics workflows
- Maintain strong focus on privacy and data security
- Drive architectural improvements in data processes
Requirements:
- 6+ years of experience in data engineering
- Proficiency in building and managing data pipelines
- Expertise in modern data tools like dbt and visualization platforms
- Strong communication skills
- Experience in mentoring team members
- Comfortable working in a dynamic, fast-paced environment
CLEAR offers a comprehensive benefits package, including healthcare plans, family building benefits, flexible time off, OneMedical memberships, and a 401(k) with employer match. The base salary range for this role is $175,000 - $215,000, depending on skills and experience.
Join CLEAR in our mission to create frictionless experiences and transform the way people live, work, and travel. With over 25+ million members and hundreds of partners worldwide, we're making every day feel like magic.
Responsibilities For Senior Analytics Engineer
- Design and maintain scalable, self-service data platforms enabling Analysts and Engineers to drive automation, testing, security, and high-quality analytics
- Develop robust processes for data transformation, structuring, metadata management, and workflow optimization
- Own and manage end-to-end data pipelines—from ingestion to transformation, modeling, and visualization—ensuring high data quality
- Collaborate with stakeholders across product and business teams to understand requirements and deliver actionable insights
- Lead the development of data models and analytics workflows that support strategic decision-making and reporting
- Maintain a strong focus on privacy, ensuring that member data is used securely and responsibly
- Drive architectural improvements in data processes, continuously improving CLEAR's data infrastructure
Requirements For Senior Analytics Engineer
- 6+ years of experience in data engineering, with a focus on data transformation, analytics, and cloud-based solutions
- Proficient in building and managing data pipelines using orchestration tools (Airflow, Dagster,) and big data tools (Spark, Kafka, Snowflake, Databricks)
- Expertise in modern data tools like dbt and data visualization platforms like Looker, Tableau
- Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders
- Experience mentoring and collaborating with team members to foster a culture of learning and development
- Comfortable working in a dynamic, fast-paced environment with a passion for leveraging data to solve complex business challenges
Benefits For Senior Analytics Engineer
- Comprehensive healthcare plans
- Family building benefits (fertility and adoption/surrogacy support)
- Flexible time off
- Free OneMedical memberships for employees and dependents
- 401(k) retirement plan with employer match
- Meals and snacks in office
- Learning & development stipend and reimbursement programs
