
Job Description
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.
We’re looking for a Data Engineer II to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Data Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core.
A brief highlight of our tech stack:
- SQL / Python / Looker / Snowflake / dbt
What you'll do:
- Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- Develop and maintain data pipelines to collect, clean, and transform data (owning end to end data product from ingestion to visualization)
- Develop and implement data analytics models
- Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems
- Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR
What you're great at:
- 4+ years of data engineering experience
- Working with cloud-based application development, and be fluent in at least a few of:
- Cloud services providers like AWS
- Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc
- Big data tools like Spark, Kafka, Snowflake, Databricks, etc
- Collaboration, integration, and deployment tools like Github, Argo, and Jenkins
- Data visualization tool like Looker, Tableau, etc
- Articulating technical concepts to a mixed audience of technical and non-technical stakeholders
- Collaborating and mentoring less experienced members of the team
- Comfort with ambiguity
- Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important
How You’ll be Rewarded:
At CLEAR, we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs.
We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The total compensation range for this role is $180,000-$220,000, depending on levels of skills and experience.
This range represents the combined base salary and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements.
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. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.
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.
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Job Details
- Category
- Aerospace Engineering
- Employment Type
- Full Time
- Location
- New York, NY
- Posted
- Compensation
- $180,000 - $220,000 per year
About ClearML
As the leading infrastructure platform for unleashing AI in organizations worldwide, ClearML is used by more than 1,600 customers to manage GPU clusters and optimize utilization, streamline AI/ML workflows, and deploy GenAI models effortlessly. ClearML is an NVIDIA partner and is trusted by more than 250,000 forward-thinking AI builders and IT teams at leading Fortune 500 companies, enterprises, academia, public sector agencies, and innovative start-ups worldwide. To learn more, visit the company’s website at https://clear.ml. We enable customers to streamline and optimize AI development lifecycles to achieve the fastest time to production, fastest time to value, reduced costs, and increased performance. In this way, ClearML accelerates AI adoption across business units, helping companies reach their revenue potential and materialize value from their AI investments, faster. ClearML is used by more than 1,600 enterprise customers to develop a highly repeatable process for their end-to-end AI model lifecycle, from product feature exploration to model deployment and monitoring in production. Use all of our modules for a complete ecosystem or plug in and play with the tools you have. To learn more, visit the company’s website at https://clear.ml. Get started with ClearML by using our free tier servers (https://app.clear.ml) or by hosting your own (https://github.com/allegroai/clearml-server).
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