Senior Data Engineer

Summary

Join Juul Labs as a Data Engineer and leverage your expertise to design, build, and maintain robust data solutions. You will work with large datasets, applying analytical methods to drive business and product decisions. Key responsibilities include developing data pipelines, building data models, and ensuring data quality. You will collaborate with cross-functional teams, including data scientists, business analysts, and operational teams. This role offers significant upward mobility and the chance to impact key executive decisions. The ideal candidate possesses 4+ years of experience in data engineering or software engineering, advanced Python skills, and experience with GCP.

Requirements

• 4+ years of data engineering or software engineering experience with a focus on data
• Significant experience in independently driving engineering solutions
• Advanced knowledge in developing using Python for data processing for large-scale datasets and workflows
• Skilled using python libraries and packages (Pandas, PyArrow) in conjunction with the Google Cloud Platform (BigQuery, Storage, Pub/Sub)
• Comfortable working on AI pipelines (Vertex AI, Claude)
• Experience with version control (Git) and containers (Docker)
• Skilled in analytical SQL in support of data modeling/ transformations and manipulating multiple data formats

Responsibilities

• Design robust, reusable and scalable data solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured data using python
• Be in active development of large-scale data engineering projects
• Create data pipelines in airflow, DBT and the general suite of Google Cloud Platform
• Build, manage, and support data models. Ensure data quality with data tests in Monte Carlo and Datafold
• Modeling the dynamics of the fast moving and competitive market that we operate in and understanding our impact on it
• Bringing visibility into our complex sales, logistics and supply chain operations through dashboards and standardized metrics
• Explaining and predicting online and offline consumer choices and consumption patterns
• Building demand forecasting models and understanding their behavior
• Creating clean analytical data models and tools to help empower business and operational teams
• Work in a scrum agile environment using Trello
• Partner with Data Scientists, Data Engineers and Business Analysts to build configurable, scalable, and robust data processing infrastructure
• Work closely with our sales, operations, research, and finance teams on data storage, retrieval, and analysis
• Develop new systems and tools to enable stakeholders to consume and understand data more intuitively
• Create and establish design standards and assurance processes to ensure compatibility and operability of data connections, flows and storage requirements
• Keep Juul on the cutting edge of data technology

Preferred Qualifications

• Knowledge of bash/shell and orchestration tools (e.g. Airflow), is preferred
• Foundational expertise of deploying and maintaining machine learning pipelines is a plus
• Preferred masters degree in Computer Science, Engineering, Math, or equivalent experience

Benefits

• A place to grow your career. We’ll help you set big goals - and exceed them
• People. Work with talented, committed and supportive teammates
• Equity and performance bonuses. Every employee is a stakeholder in our success
• Cell phone subsidy, commuter benefits and discounts on JUUL products
• Excellent medical, dental and vision, disability, and life insurance, plus family support, wellness, legal, and employee assistance program benefits
• 401(k) plan with company matching
• Plus biannual discretionary performance bonuses