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Job DescriptionJob DescriptionWhy Jerry?• 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 growthAbout the opportunity: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.How you will make an impact:• 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 infrastructureIdeal profile:• 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 modelsWhile we appreciate your interest and application, only applicants under consideration will be contacted.Jerry is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.Jerry is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@getjerry.comAbout Jerry:Jerry is America s first and only AllCar app. We are redefining and radically improving how people manage owning a car, one of their most expensive and time-consuming assets.Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry does it all.We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers and we re just getting started.Jerry was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that s disrupting a massive market.
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What You Should Know About Senior Data Engineer (remote), Jerry

Are you an experienced Senior Data Engineer looking for an exciting remote opportunity with a fast-growing company? Look no further than Jerry! Based in Seattle, WA, Jerry is on a mission to revolutionize car ownership with our AllCar super app. As a Senior Data Engineer at Jerry, you will play a pivotal role in developing and scaling our data infrastructure as we aim to disrupt a massive $2 trillion market. Your expertise will help us create robust data pipelines in collaboration with our talented team of data scientists and engineers, driving critical insights to fuel our growth. You'll define best practices and optimize our infrastructure while ensuring data accuracy and availability. Join us as we innovate and empower over 5 million customers to make smarter decisions with their vehicles. With your knowledge of big data technologies and experience in data modeling and warehousing, you'll lead initiatives that enhance our data capabilities, all while working closely with stakeholders across various departments. If you're ready to make an impact in a dynamic and talent-rich environment, apply now and be part of our journey to accelerate growth and deliver exceptional value to our customers!

Frequently Asked Questions (FAQs) for Senior Data Engineer (remote) Role at Jerry
What are the responsibilities of a Senior Data Engineer at Jerry?

As a Senior Data Engineer at Jerry, you will be responsible for building and maintaining data pipelines, ensuring data accuracy and availability, collaborating with data scientists and software engineers, defining data engineering standards, and performing regular infrastructure maintenance. Your role is crucial in supporting intelligent business decision-making and optimizing critical predictive models.

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What qualifications are needed for the Senior Data Engineer position at Jerry?

Candidates for the Senior Data Engineer role at Jerry typically need a Bachelor’s degree in Computer Science, Engineering, or a related field, along with at least 5 years of relevant experience. Strong skills in data modeling, ETL pipeline development, and proficiency with SQL and big data technologies like Spark and Redshift are essential.

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How does the Senior Data Engineer role impact Jerry's growth?

The Senior Data Engineer at Jerry significantly impacts our growth by building scalable data pipelines that facilitate data-driven decision-making. By ensuring data availability and accuracy, you will empower various departments to leverage insights for strategic growth and operational excellence, ultimately contributing to our goal of expanding to a $5 billion business.

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What technologies will a Senior Data Engineer at Jerry work with?

In your role as a Senior Data Engineer at Jerry, you'll work with various technologies including column-based databases like Amazon Redshift and ClickHouse, as well as big data tools like Spark and Snowflake. You will also integrate analytical platforms such as Tableau and Power BI to enhance our data capabilities.

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Is remote work available for the Senior Data Engineer position at Jerry?

Yes! The Senior Data Engineer role at Jerry is fully remote, providing you with the flexibility to work from anywhere while being part of an innovative team that’s redefining how people manage car ownership.

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Common Interview Questions for Senior Data Engineer (remote)
Can you describe your experience with building data pipelines?

When answering this question, focus on specific projects where you created or improved data pipelines. Highlight the technologies used, the challenges faced, and the impact your work had on data accessibility or project outcomes.

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How do you ensure data accuracy in your projects?

To effectively respond to this, explain your approach to data validation and monitoring. Mention specific tools or methodologies you have implemented in past roles to ensure data integrity throughout the data lifecycle.

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What big data technologies do you have experience with?

Share a comprehensive list of big data technologies you’ve worked with, such as Spark, Hadoop, or Kafka. Discuss how you applied these technologies in your previous roles and the outcomes of those projects.

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Describe a challenging data engineering problem you have solved.

Select a specific problem that illustrates your analytical skills. Explain the context, your thought process, the solution you implemented, and how that solution benefited your team or organization.

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How do you approach collaboration with data scientists and other teams?

Emphasize the importance of communication and cross-functional teamwork. Provide examples of how you’ve effectively collaborated with data scientists to optimize data models or create insights that drive business growth.

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What is your experience with data modeling and warehousing?

Discuss specific methodologies and tools you have utilized for data modeling and warehousing, such as dimensional modeling or star/snowflake schemas. Detail how these practices improved data storage and retrieval in your past projects.

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How do you stay updated with the latest trends in data engineering?

Talk about your methods for continuous learning, whether it be through online courses, industry publications, or networking with other professionals. This shows your commitment to growth and staying relevant in the field.

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Can you explain your approach to performance optimization in data systems?

Detail the techniques you use to evaluate and improve the performance of data systems, such as query optimization, indexing strategies, and infrastructure scaling. Provide examples of when you successfully implemented these techniques.

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What role does automation play in your data engineering workflow?

Describe specific instances where you’ve automated repetitive tasks. Talk about tools used for automation (like Apache Airflow or custom scripts) and how these initiatives improved efficiency and accuracy.

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Why are you interested in working at Jerry as a Senior Data Engineer?

Express your enthusiasm for the company’s mission and innovative approach in the automotive space. Discuss how your technical skills align with Jerry’s needs and how you can contribute to their ambitious growth goals.

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Jerry is redefining car ownership with its innovative AI-powered AllCar™ app, offering comprehensive solutions for insurance, financing, maintenance, and safety, driven by a team passionate about enhancing the driving experience.

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Social Impact Driven
Empathetic
Collaboration over Competition
Growth & Learning
Transparent & Candid
Customer-Centric
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Full-time, remote
DATE POSTED
December 15, 2024

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