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Data Engineer

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.

 

Role Overview

 

As a Data Engineer, you will be an integral member of our data team, helping to maintain and enhance Peerspace’s data infrastructure. You will focus on managing our production MongoDB databases, organizing warehousing data in BigQuery, and leveraging tools like DBT and Segment. Your contributions will ensure a clean and reliable data ecosystem that supports our BI tools, reporting, Marketing, and Data Science initiatives. Working closely with senior data engineers and cross-functional teams, you'll gain exposure to a variety of data sources and integrations while continuously improving our data processes.

 

Qualifications:

 

You are a great fit for this role if you have:

 

       Experience: 3-5 years in data engineering or related fields, with hands-on experience managing databases and data pipelines.

       Technical Skills:

       Proficiency in managing MongoDB databases, including performance tuning and maintenance.

       Experience with cloud-based data warehousing, particularly using BigQuery.

       Familiarity with DBT for data transformation and modeling.

       Exposure to tools like Segment for data collection and integration.

       Basic knowledge of integrating third-party data sources to build a comprehensive data ecosystem.

       Analytical Mindset: Strong problem-solving skills with an attention to detail when handling large datasets and ensuring data quality.

       Collaboration: Ability to work well in a team environment, learning from and contributing to the data engineering organization as well as the broader Peerspace technology organization.

       Growth Mindset: A keen interest in advancing your technical skills and staying up-to-date with emerging data technologies and best practices.

 

Responsibilities:

 

In this role, you will be responsible for:

 

       Database Management: Overseeing our production MongoDB database to ensure optimal performance, reliability, and security.

       Data Warehousing: Assisting in the management and optimization of data pipelines into BigQuery, ensuring data is organized and accessible for downstream users.

       Data Transformation: Utilizing DBT to transform raw data into structured formats, making it useful for analysis and reporting.

       Integration: Collaborating on the integration of data from Segment and various third-party sources to create a unified, clean data ecosystem.

       Collaboration: Working closely with BI, Marketing, and Data Science teams to understand data requirements and ensure our infrastructure meets their needs.

       Continuous Improvement: Participating in code reviews, learning new tools, and contributing to the refinement of data processes and best practices.

 

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 $145,000to $160,000. 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.

 

 


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Average salary estimate

$152500 / YEARLY (est.)
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$145000K
$160000K

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What You Should Know About Data Engineer, Peerspace

Are you a Data Engineer looking for a new and exciting opportunity? Join Peerspace, the leading online marketplace for venue rentals, where you’ll be part of a team that’s revolutionizing how people find inspiring spaces for meetings, productions, and events. As a Data Engineer at Peerspace, you will play a crucial role in enhancing our data infrastructure. In this position, you'll manage our production MongoDB databases, optimize data pipelines in BigQuery, and use tools like DBT and Segment to ensure our data ecosystem is reliable and well-organized. You'll collaborate closely with senior data engineers and cross-functional teams to improve our data processes constantly. If you have 3-5 years of experience in data engineering, a strong analytical mindset, and a passion for continual learning, we want to hear from you! At Peerspace, we offer a dynamic remote-first work environment and numerous benefits, including comprehensive health insurance, professional development allowances, and flexible time-off policies. Ready to make an impact in the world of data? Let’s build something great together at Peerspace!

Frequently Asked Questions (FAQs) for Data Engineer Role at Peerspace
What qualifications do I need to apply for the Data Engineer position at Peerspace?

To be considered for the Data Engineer position at Peerspace, candidates should have 3-5 years of experience in data engineering or related fields. Proficiency in managing MongoDB databases and experience with cloud-based data warehousing, specifically BigQuery, are essential. Familiarity with DBT for data transformation, tools like Segment for data integration, and a strong problem-solving mindset will significantly enhance your application.

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What are the main responsibilities of a Data Engineer at Peerspace?

As a Data Engineer at Peerspace, your responsibilities will include overseeing the production MongoDB database, managing data pipelines, and transforming raw data into structured formats using DBT. You'll also collaborate with BI, Marketing, and Data Science teams to ensure their data needs are met and continuously improve data processes to maintain a clean and reliable data environment.

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How does Peerspace support professional development for Data Engineers?

Peerspace is committed to the growth of its employees, offering a $500 annual professional development allowance for Data Engineers. This allows team members to take courses, attend workshops, or purchase resources that enhance their skills. Moreover, the collaborative environment at Peerspace fosters continuous learning and offers opportunities for mentorship within the data engineering team.

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Can Data Engineers work remotely at Peerspace?

Yes! Peerspace operates as a remote-first company, meaning Data Engineers can work from anywhere. This setup accommodates team members across various locations, allowing for flexibility and a better work-life balance. Plus, Peerspace offers a range of benefits to support remote work, such as stipends for home office setups and coworking memberships.

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What makes Peerspace a unique place to work for Data Engineers?

Peerspace stands out as a Great Place to Work™ and is known for its inclusive and diverse culture. Data Engineers at Peerspace not only get to work on exciting data projects but also enjoy various perks like wellness Fridays and annual team-building events. The company's dedication to advancing data technologies and best practices ensures that you will always be at the forefront of the industry.

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Common Interview Questions for Data Engineer
Can you describe your experience with MongoDB?

When answering this question, focus on specific projects where you've managed MongoDB databases. Discuss your experience with performance tuning, maintenance tasks, and how you've ensured data integrity. Be sure to mention any metrics or outcomes that demonstrate your success in managing MongoDB effectively.

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What strategies do you use to optimize data pipelines in BigQuery?

In your response, highlight specific techniques you've used such as partitioning tables, clustering, and optimizing SQL queries. Discuss your understanding of data warehousing concepts and how these strategies impact performance and cost-effectiveness in BigQuery.

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How do you leverage DBT for data transformation?

Share your experience with DBT, focusing on how you structure your models and manage dependencies. Mention any best practices you've adopted for maintaining a clean codebase and how you handle testing and documentation in DBT to ensure accuracy and reliability in your data transformation workflows.

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Describe a challenging data integration project you worked on.

Provide details about a specific project that tested your skills, explaining the challenges faced and how you approached them. Discuss collaboration with external sources and tools like Segment, and emphasize how you maintained data quality throughout the integration process.

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What role does collaboration play in your work as a Data Engineer?

Emphasize the importance of teamwork in data engineering, especially when collaborating with BI, Marketing, and Data Science teams at Peerspace. Provide examples of how you've effectively communicated data requirements and ensured that your infrastructure meets the needs of these stakeholders.

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How do you keep up with emerging data technologies?

Discuss your strategies for staying updated, such as following industry leaders, participating in webinars, or taking courses. Emphasize your growth mindset and a proactive approach to learning new tools or methodologies that could enhance your work as a Data Engineer at Peerspace.

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What is your approach to troubleshooting data quality issues?

Outline your systematic approach to identifying and resolving data quality issues. Discuss your methods for diagnosing problems, such as analyzing logs or auditing data, and how you implement fixes to prevent future occurrences. Highlight your attention to detail in ensuring data accuracy.

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How do you prioritize tasks when managing multiple data projects?

Share your method for prioritizing projects, including tools or techniques used to assess urgency and importance. Discuss how you communicate with stakeholders to align on priorities and manage deadlines effectively, ensuring that all data initiatives are completed on time.

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Can you explain a time when you had to collaborate with non-technical teams?

Provide an example of how you've worked with non-technical teams such as Marketing or Business Development. Focus on your ability to translate technical language into concepts they can understand and how this enhanced project outcomes and collaboration.

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What do you think is the future of data engineering?

Share your insights on trends such as the growing importance of real-time data processing, the rise of cloud-based solutions, and advancements in AI and machine learning. Discuss how these trends might impact Peerspace's data strategies, emphasizing your willingness to adapt and innovate.

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Peerspace is on a mission to bring people together, starting with making it easy to find and book the perfect places to meet, create, and celebrate.

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Full-time, remote
DATE POSTED
March 26, 2025

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