Senior Data Engineer

July 24

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Jerry

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Jerry helps you save money on car expenses. Named a LinkedIn 2021 Top Startup.

finance • insurance • artificial intelligence • mobile application • consumer software

201 - 500

Description

• Join a pre-IPO startup with capital, traction and runway ($240M funded | 40X revenue growth in 4 years | $2T market size) • Work closely with brilliant leaders and team members who have scaled companies like Nvidia, Better, Nerdwallet, Wayfair, Sofi, etc. • Disrupt a massive market and take us to a $5B business in the next few years • Be immersed in a talent-dense environment and greatly accelerate your career growth • 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.

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