At a Glance
- Tasks: Lead the design and implementation of data systems to enhance routing algorithms.
- Company: Join Lyft's innovative Mapping team in a hybrid work environment.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture focused on innovation and career advancement.
- Why this job: Make a real impact on travel estimations with cutting-edge data solutions.
- Qualifications: 5+ years in data engineering, strong SQL skills, and experience with cloud infrastructure.
The predicted salary is between 121500 - 148500 $ per year.
Become a Senior Data Engineer with Lyft’s Mapping team, where you'll lead efforts in improving routing algorithms and data pipeline efficiency.
This hybrid role fosters innovation through collaboration.
This experienced position requires you to guide the technical design and implementation of critical data systems, working closely with data scientists and software engineers.
You will utilize tools like Kafka and Kubernetes while enhancing data integrity and enabling impactful business decisions.
Your expertise will support Lyft's commitment to delivering accurate travel estimations.
Key
Responsibilities
- Own and oversee core data pipeline architecture
- Serve as the technical lead for experimental development
- Evolve and adapt data models based on business needs
- Develop AI tools for ETL and schema optimization
- Engage in code reviews to ensure quality standards
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent
- At least 5 years in large-scale distributed systems
- Strong background in SQL and data quality tools
- Experience with workflow orchestration and cloud infrastructure
- Proven communication skills for stakeholder engagement
Bring your technical skills to Lyft and help create transformative data solutions for our users. #J-18808-Ljbffr
Senior Data Engineer – Hybrid Role in Toronto employer: Lyft, Inc.
Lyft is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and collaboration is key. As a Machine Learning Engineer, you will have access to cutting-edge technology and the opportunity to work alongside talented professionals in a fast-paced environment, all while contributing to meaningful projects that redefine transportation. With a strong emphasis on employee growth and development, Lyft offers numerous resources and support for your career advancement, making it an ideal place for those looking to make a significant impact.
