Staff Data Engineer

Summary

Join Peerspace as a Staff Data Engineer and become a technical leader, shaping the future of our data platform. You will architect and evolve our core data infrastructure, define and promote best practices, and collaborate with other engineering teams. This role involves solving complex technical challenges, mentoring engineers, and improving the organization's data expertise. You will be a force multiplier, improving data literacy and technical capabilities across the organization. The position requires significant experience in data engineering and technical leadership, along with expertise in cloud-based data platforms and data modeling. Peerspace offers competitive salary and equity, along with comprehensive benefits.

Requirements

• Experience: 8-12+ years in data engineering or software engineering, with significant experience in technical leadership and architectural design for data-intensive systems
• 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
• Demonstrated ability to drive technical decisions across multiple teams, build consensus, and lead large-scale initiatives without direct authority
• A natural ability to partner with senior leaders in Product, Engineering, and Analytics to translate business needs into a long-term technical strategy
• 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
• 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

• 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
• Defining and evangelizing data engineering best practices, patterns, and tooling for use across the entire Peerspace engineering organization
• Partnering with other engineering teams to design and implement services that produce clean, well-structured, and reliable data from the source
• Tackling the most complex technical challenges within our data ecosystem, such as platform performance bottlenecks, data governance frameworks, or cost optimization strategies
• 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

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