Data Engineer

Summary

Join Peerspace as a Data Engineer and become an integral part of our data team, maintaining and enhancing our data infrastructure. You will manage production MongoDB databases, organize data in BigQuery, and leverage tools like DBT and Segment. Your work will support BI tools, reporting, marketing, and data science initiatives. Collaborate with senior engineers and cross-functional teams, gaining exposure to diverse data sources and integrations. Continuously improve data processes and contribute to a clean, reliable data ecosystem. This role offers a competitive salary and comprehensive benefits.

Requirements

• Have 3-5 years of experience in data engineering or related fields, with hands-on experience managing databases and data pipelines
• Be proficient in managing MongoDB databases, including performance tuning and maintenance
• Have experience with cloud-based data warehousing, particularly using BigQuery
• Be familiar with DBT for data transformation and modeling
• Have exposure to tools like Segment for data collection and integration
• Possess basic knowledge of integrating third-party data sources to build a comprehensive data ecosystem
• Demonstrate strong problem-solving skills with an attention to detail when handling large datasets and ensuring data quality
• Have the 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
• Have a keen interest in advancing your technical skills and staying up-to-date with emerging data technologies and best practices

Responsibilities

• Oversee our production MongoDB database to ensure optimal performance, reliability, and security
• Assist in the management and optimization of data pipelines into BigQuery, ensuring data is organized and accessible for downstream users
• Utilize DBT to transform raw data into structured formats, making it useful for analysis and reporting
• Collaborate on the integration of data from Segment and various third-party sources to create a unified, clean data ecosystem
• Work closely with BI, Marketing, and Data Science teams to understand data requirements and ensure our infrastructure meets their needs
• Participate in code reviews, learn new tools, and contribute to the refinement of data processes and best practices

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