Senior Data Engineer

Peerspace

35d • $160,000 - $175,000 • Remote

About The Position

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.

Requirements

• 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

• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees