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Peerspace
Peerspace

Senior or Staff Data Engineer

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Staff

Tech stacks

Data
Project management
Data warehouse
+13

Visa

U.S. visa required

Permanent role
4 days ago
Apply now

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.

Role Overview

We are open to either s Senior or Staff level for this role. You can find both descriptions below as a summary:

As a Senior Data Engineer, you will be a key leader within our data team, taking ownership of major components of Peerspace’s data infrastructure. You will design, build, and optimize robust and scalable data pipelines into our production BigQuery data warehouse, leveraging tools like DBT and Segment. Your work will directly empower our BI tools, reporting, Marketing, and Data Science initiatives by ensuring a highly reliable and performant data ecosystem. You will mentor other engineers, lead complex projects, and set high standards for data quality and engineering excellence.

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:

5-12 years in data engineering, with a proven track record of designing, building, and owning production data pipelines.

● Technical Skills:

○ Deep expertise with cloud-based data warehousing, particularly designing and optimizing schemas in BigQuery.

○ Advanced proficiency with DBT for creating sophisticated, scalable, and maintainable data transformation models.

  • Comfortable working with SQL

○ Significant experience with tools like Segment for architecting data collection and event streaming strategies.

○ Proven ability to integrate and model numerous third-party data sources to build a comprehensive and authoritative data ecosystem.

● Architectural Mindset:

Strong ability to design scalable, resilient data systems and make informed technical trade-offs. You have an eye for detail and a passion for data integrity.

● Collaboration & Mentorship:

A history of effective collaboration with cross-functional teams and experience mentoring junior engineers on technical concepts and best practices.

● Impact:

A track record of delivering high-impact data projects from conception to completion, driving measurable improvements in data quality, availability, and utility. You are a domain expert in multiple business areas.

● Ownership Mindset:

A proactive approach to identifying opportunities for improvement, leading technical initiatives, and staying at the forefront of data engineering technologies.

Responsibilities:

In this role, you will be responsible for:

● Data Warehousing: Owning and evolving our data pipelines into BigQuery, leading efforts to improve performance, scalability, and cost-efficiency.

● Data Transformation: Architecting and implementing advanced data models using DBT, establishing best practices for testing, documentation, and code quality.

● Integration: Leading the design and implementation of integrations with Segment and other third-party sources, ensuring data consistency and reliability across the platform.

● Project Leadership: Taking ownership of complex data projects, from gathering requirements with BI, Marketing, and Data Science teams to delivering robust, production-ready solutions.

● Mentorship: Guiding and mentoring other data engineers, leading code reviews, and fostering a culture of technical excellence and continuous improvement.

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 $160,000 to $185,000. The actual salary and level of Senior or Staff 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.

About Peerspace

👥11-50
📍San Francisco, California, United States
🔗Website

Peerspace Service

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How does Peerspace work?

Company culture

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