As a Senior Data Engineer, you will lead the data infrastructure at Peerspace, optimizing data pipelines in BigQuery and mentoring junior engineers while ensuring data quality and reliability.
Senior 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 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.
Qualifications:
You are a great fit for this role if you have:
● Experience: 5-8 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.
○ 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 $175,000. 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
Segment
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