2 months ago
Responsibilities
- Build and operate scalable, reliable data systems and batch or streaming pipelines from ingestion through modeling and visualization.
- Develop and maintain end-to-end data products, data models, transformations, and the infrastructure supporting reporting and business use cases.
- Implement infrastructure-as-code, CI/CD, orchestration, and shared developer tooling for data products across environments.
- Improve the security, compliance, observability, reliability, performance, and cost posture of the data stack, including IAM and secrets management.
- Partner with product stakeholders and other teams to define requirements, make architectural decisions, and improve data platform processes.
- Mentor less experienced engineers and communicate technical concepts to technical and non-technical audiences.
Requirements
- 6+ years of data engineering experience.
- Strong Python and SQL skills and experience designing and operating scalable batch or streaming data pipelines.
- Experience with data orchestration and technologies such as Dagster, Airflow, Luigi, dbt, Snowflake, Spark, Kafka, or Databricks.
- Experience with AWS, cloud-based application development, modern data warehouses, and data platform integration methods such as APIs, CDC, batch ingestion, and streaming.
- Experience with collaboration and integration tools such as GitHub, Argo, or Jenkins, or equivalent technologies.
- Experience designing data models and transformations in a data warehouse and building self-service tooling.
- Ability to collaborate across teams, explain technical concepts clearly, mentor engineers, and take ownership of architecture, quality, and process improvements.
Benefits
- Meals and snacks in company offices.
- Stipends and reimbursement programs supporting well-being and learning and development.
- Comprehensive healthcare plans, family-building benefits, flexible time off, free OneMedical memberships for employees and dependents, and a 401(k) retirement plan with employer match.
- The role is onsite, as indicated by the job listing.
Tech Stack
Categories
Data Engineering
About CLEAR
CLEAR builds a biometric identity platform used to verify people quickly at airports, stadiums, and online. It sells CLEAR Plus consumer subscriptions for expedited airport security and provides enterprise identity, age verification, and digital ID services to partners in travel, healthcare, and financial services. Founded in 2010 and headquartered in New York, the company is publicly traded on the NYSE under the ticker YOU.