As a Staff Data Engineer, you will architect and evolve Peerspace's data infrastructure, setting standards and mentoring engineers while solving complex technical challenges.
Staff Data Engineer
About Peerspace
Peerspace is the leading and category defining online marketplace for venue rentals for meetings, productions, and events. We open doors to the most inspiring spaces around the world, from lofts and mansions to storefronts and studios. Over $500M has been transacted through the platform, and our investors include GV (Google Ventures) and Foundation Capital.
At Peerspace, we are committed to maintaining a secure and transparent hiring experience. Please be aware that scammers sometimes impersonate companies like ours by posting fake job listings or reaching out to job seekers in misleading ways. All legitimate communication from Peerspace will come from an official @peerspace.com email address. We do not contact candidates through personal email accounts, third-party messaging apps such as WhatsApp or Microsoft Teams, or through the Peerspace platform's internal messaging system. All Interviews are conducted only by phone or Zoom, and we will never ask for sensitive personal or financial information such as your Social Security number or bank details during the early stages of the hiring process. If you receive any message that seems suspicious or does not align with these practices, please contact us immediately at [email protected] so we can investigate. We only post our job openings and process applications, through our official careers page at https://jobs.lever.co/peerspace.
Role Overview
As a Staff Data Engineer, you will serve as a technical leader and a key enabling function across the entire Engineering organization. You will be responsible for shaping the future of Peerspace's data platform, ensuring its scalability, reliability, and ability to meet the complex demands of a growing business. Beyond individual projects, you will focus on setting technical direction, establishing best practices, and mentoring engineers on both the data team and other product teams. Your role is to be a force multiplier, improving the data literacy and technical capabilities of the organization as a whole through architectural leadership and cross-functional influence.
Qualifications:
You are a great fit for this role if you have:
● Experience: 8-12+ years in data engineering or software engineering, with significant experience in technical leadership and architectural design for data-intensive systems.
● Technical Skills:
○ Authoritative expertise in designing and scaling large-scale data platforms on the cloud (GCP/BigQuery preferred).
○ Mastery of data modeling and transformation frameworks (e.g., DBT), with a focus on creating systems that are broadly usable and maintainable by many teams.
○ Deep architectural knowledge of data collection, event streaming (e.g., Segment), and ETL/ELT patterns at scale.
○ Experience evaluating, selecting, and integrating new data technologies to solve major business and technical challenges.
● Technical Leadership & Influence: Demonstrated ability to drive technical decisions across multiple teams, build consensus, and lead large-scale initiatives without direct authority.
● Collaboration: A natural ability to partner with senior leaders in Product, Engineering, and Analytics to translate business needs into a long-term technical strategy.
● Impact: A portfolio of work that demonstrates your ability to solve ambiguous, complex problems that enable entire teams or product areas. You have a reputation for improving engineering velocity and quality.
● Strategic Mindset: An ability to think beyond immediate requirements to build foundational systems that will support the company's long-term goals and future data products.
Responsibilities:
In this role, you will be responsible for:
● Platform Architecture: Architecting and evolving our core data infrastructure (BigQuery, DBT, Segment) to ensure it is robust, scalable, and serves as a reliable foundation for all data consumers.
● Setting Standards: Defining and evangelizing data engineering best practices, patterns, and tooling for use across the entire Peerspace engineering organization.
● Cross-Functional Leadership: Partnering with other engineering teams to design and implement services that produce clean, well-structured, and reliable data from the source.
● Solving Hard Problems: Tackling the most complex technical challenges within our data ecosystem, such as platform performance bottlenecks, data governance frameworks, or cost optimization strategies.
● Mentorship & Evangelism: Acting as a senior mentor and technical resource for engineers across the company, elevating the organization's collective data expertise through workshops, design documents, and 1:1 guidance.
Why Peerspace?
Peerspace is proudly certified as a Great Place to Work™ and we're a remote first company with team members located in cities around the globe. Beyond competitive salary and equity compensation, we provide:
● 100% employee coverage of medical, dental and vision insurance
● $500 annual professional development allowance
● Discount on all Peerspace bookings
● Laptop, high res display, and stipend to setup home office
● Monthly cell phone and internet credit
● Coworking membership if needed (in lieu of home office)
● Flexible take it as you need it time off policy
● Wellness Fridays observed company wide
● Annual in-person, all company offsites and team-building events
The annual salary range for this role is $170,000 to $185,000. The actual salary will vary depending on experience, skills, and abilities as well as internal equity and market data.
Diversity
At Peerspace, we're dedicated to creating a team that's diverse, equitable and inclusive. We believe bringing people together from different backgrounds and identities makes us stronger and better serves the Peerspace community. We'd especially like to encourage applicants from different backgrounds, locations, and experiences.
Top Skills
BigQuery
Dbt
GCP
Segment
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