About the position
Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby - neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 315,000 neighborhoods across 11 countries. As a Principal Engineer on the Data Platform team, you'll be driving an acceleration of product development, machine learning, data science and more by providing world class data infrastructure and self-service tools. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees.
Responsibilities
- Envision, architect, build, and own a highly scalable data platform that will help power the development of Nextdoor for the foreseeable future
- Participate in all phases of the software development lifecycle: analysis, technical design, planning, development, testing/CICD, release, and post production/escalation support
- Build partnerships with key stakeholders, evangelize the use of the platform, and develop a roadmap for future development
- Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises
- Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values
Requirements
- 7-10 years demonstrated experience working on data infrastructure at petabyte scale
- Deep understanding of data infrastructure, governance, compliance and how enterprises use data
- Knowledge of SQL, Spark/pySpark and other data processing tools
- Computer science fundamentals such as data structures, algorithms, performance complexity, and optimization
- Software engineering fundamentals: version control systems (i.e Git, Github) and workflows, and ability to write production-ready code
- Knowledgeable with data science and machine learning tools and frameworks
- Familiarity with experimentation methodologies, such as A/B testing, multivariate testing, and statistical analysis
- Experience deploying scalable software
- Experience with cloud technologies (AWS preferred)
- Strong oral and written communication skills
- Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
Benefits
- Starting salary expected to range from $230,000 to $290,000 annually
- Meaningful equity grant with equal quarterly vesting
- 100% coverage of personal monthly premium for health, dental, and vision
- OneMedical membership for concierge care
