Jerry - San Francisco, CA
posted 3 days ago
About the position
Jerry is building the first AllCar super app to help people optimize all aspects of owning a car - insurance, buy/sell, registration, loans, safety, repairs, parking, etc - a $2T market in the U.S. We started with insurance in 2019, and since then we've launched loan refinancing, real-time driving insights, a repair marketplace, car diagnostics, and a GenAI-powered chatbot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 40X and our team to 250 across 7 countries. The Data team at Jerry is responsible for supporting intelligent business decision making through analytical insights and advanced models. As a senior data engineer, you bring your previous industry experience in infrastructure scaling to Jerry and lead the development of a new infrastructure solution that will continue to perform with great stability and efficiency even when the company grows 10x bigger. You will join a team of data engineers, data analysts, and data scientists who operate with urgency and passion for excellence in pursuit of our mission to build the first AllCar super app.
Responsibilities
- Partner with data scientists, software engineers and cross-functional stakeholders (Marketing, Operations, Finance) to build data pipelines that will provide critical data and insights to drive growth for the business, while ensuring data availability and accuracy
- Partner with data scientists and machine learning engineers to evolve, optimize, and integrate critical predictive models
- Partner with software engineers and data scientists to build data pipelines to consume and refine application data
- Define data engineering standards and best practices and drive operational excellence
- Perform regular maintenance and optimization of our data infrastructure
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline. Master's degree in Computer Science or Engineering preferred
- 5+ years of experience in data engineer or similar role
- Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies
- Outstanding communication and problem solving skills, eager to work on the most pressing business problems and drive impact for the company
- Experience with data modeling, data warehousing, and ETL pipeline development
- Experience with column-based databases (Amazon Redshift, ClickHouse, etc.) and infrastructure integration with analytical platforms (Tableau, Qlik, Power BI, etc.)
- Hands-on experience and advanced knowledge of SQL
- Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.)
- Experience in process automation and deployment of advanced machine learning models
