Senior Data Engineer

Summary

Join Peerspace as a Senior Data Engineer and become a key leader in our data team, owning major components of our data infrastructure. Design, build, and optimize robust and scalable data pipelines into our BigQuery data warehouse using tools like DBT and Segment. Empower our BI tools, reporting, Marketing, and Data Science initiatives by ensuring a highly reliable and performant data ecosystem. Mentor other engineers, lead complex projects, and set high standards for data quality and engineering excellence. This role offers the opportunity to make a significant impact on our data infrastructure and contribute to the success of Peerspace.

Requirements

• Experience: 5-8 years in data engineering, with a proven track record of designing, building, and owning production data pipelines
• 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
• 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
• A history of effective collaboration with cross-functional teams and experience mentoring junior engineers on technical concepts and best practices
• 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
• A proactive approach to identifying opportunities for improvement, leading technical initiatives, and staying at the forefront of data engineering technologies

Responsibilities

• Own and evolve our data pipelines into BigQuery, leading efforts to improve performance, scalability, and cost-efficiency
• Architect and implement advanced data models using DBT, establishing best practices for testing, documentation, and code quality
• Lead the design and implementation of integrations with Segment and other third-party sources, ensuring data consistency and reliability across the platform
• Take ownership of complex data projects, from gathering requirements with BI, Marketing, and Data Science teams to delivering robust, production-ready solutions
• Guide and mentor other data engineers, leading code reviews, and fostering a culture of technical excellence and continuous improvement

Benefits

• 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