Data Engineer, Experimentation

Welcome to Lyft, a company dedicated to transforming transportation by creating the best possible experience for our users. As a Data Engineer, Experimentation, you will play a crucial role in helping us achieve this goal by utilizing your expertise in data engineering to drive our experimentation efforts. You'll have the opportunity to work with a dynamic team of engineers, data scientists, and product managers to develop and implement experiments that inform our decision-making process. To succeed in this role, you should have a strong understanding of data pipelines, databases, and data warehousing, along with experience in designing and implementing experiments. If you're passionate about using data to drive business decisions and thrive in a fast-paced, collaborative environment, we'd love to have you on our team.

1. Develop and implement data pipelines to support experimentation efforts.
2. Design and maintain databases and data warehousing systems.
3. Collaborate with engineers, data scientists, and product managers to identify and prioritize experiments.
4. Create and execute experiments to inform decision-making processes.
5. Analyze experiment results and present findings to stakeholders.
6. Monitor and troubleshoot data pipelines to ensure accurate and timely data collection.
7. Continuously improve and optimize data processes and systems.
8. Stay up-to-date with industry best practices and advancements in data engineering and experimentation.
9. Communicate effectively with cross-functional teams to ensure alignment and understanding of experimentation goals and results.
10. Proactively identify areas for improvement in data infrastructure and processes to enhance experimentation capabilities.
11. Work with other data engineers to ensure data quality and consistency across all systems.
12. Serve as a subject matter expert on data engineering and experimentation to support business decisions and strategic initiatives.
13. Collaborate with IT teams to ensure data security and compliance.
14. Train and mentor junior data engineers on data engineering and experimentation best practices.
15. Embrace a fast-paced and collaborative work environment to drive continuous improvement and innovation.

According to JobzMall, the average salary range for a Data Engineer, Experimentation is $87,000-$142,000 per year. This may vary depending on the industry, location, and level of experience.

Lyft, Inc. is a transportation network company based in San Francisco, California and operating in 640 cities in the United States and 9 cities in Canada. It develops, markets, and operates the Lyft mobile app, offering car rides, scooters, and a bicycle-sharing system.