Juul Labs's mission is to transition the world’s billion adult smokers away from combustible cigarettes and combat underage usage of their products.
The company is committed to exceptional quality, research, design, and innovation, and seeks to hire great talent.
The role involves working with varied, large data sets to inform and drive business and product decisions.
The ideal candidate is an output-focused problem solver with a strong conceptual mindset and superb communication skills.
Responsibilities include designing robust, reusable, and scalable data solutions and data pipeline frameworks using Python.
The role requires active development of large-scale data engineering projects and creating data pipelines in Airflow, DBT, and Google Cloud Platform.
The candidate will build, manage, and support data models, ensuring data quality with data tests in Monte Carlo and Datafold.
The position involves modeling market dynamics, bringing visibility into sales and supply chain operations, and explaining consumer choices.
The candidate will work in a scrum agile environment using Trello and partner with Data Scientists, Data Engineers, and Business Analysts.
The role includes developing new systems and tools for stakeholders to consume and understand data intuitively and keeping Juul on the cutting edge of data technology.
Requirements:
A minimum of 4 years of data engineering or software engineering experience with a focus on data is required.
Significant experience in independently driving engineering solutions is necessary.
Advanced knowledge in developing using Python for data processing for large-scale datasets and workflows is essential.
The candidate should be skilled in using Python libraries and packages (Pandas, PyArrow) in conjunction with Google Cloud Platform.
Comfort with working on AI pipelines (Vertex AI, Claude) is preferred.
Knowledge of bash/shell and orchestration tools (e.g., Airflow) is preferred.
Experience with version control (Git) and containers (Docker) is required.
The candidate should be skilled in analytical SQL for data modeling and transformations.
Foundational expertise in deploying and maintaining machine learning pipelines is a plus.
A preferred master's degree in Computer Science, Engineering, Math, or equivalent experience is desired.
Benefits:
Juul Labs offers a place to grow your career and will help you set and exceed big goals.
Employees will work with talented, committed, and supportive teammates.
The company provides equity and performance bonuses, making every employee a stakeholder in their success.
Benefits include a cell phone subsidy, commuter benefits, and discounts on JUUL products.
Excellent medical, dental, vision, disability, and life insurance, along with family support, wellness, legal, and employee assistance program benefits are provided.
A 401(k) plan with company matching is available.
Employees can also receive biannual discretionary performance bonuses.
