About The Role:

Pagoda is the first-ever Web3 Startup Platform where developers and entrepreneurs can build, launch, and operate new blockchain-based products and services. As a primary builder of the NEAR Protocol, Pagoda delivers capacity, velocity, simplicity, and affordability needed to power tomorrow’s Web3 startups.

The Pagoda Data Platform team is looking for a Data Engineer to build and scale our data infrastructure to empower our core products and product analytics.

What You'll Be Doing:

• Architect and manage data lakes and data marts needed to provide product analytics insights to product teams and executives (BigQuery, DataBricks);
• Create and manage data pipelines for both on-chain (NEAR) and off-chain (OLTP databases, http logs, UI analytics) data;
• Automate data quality monitoring and alerting tools;
• Optimize time to insight and work with Data Scientist to create data marts for various data products;
• Creating data extraction tools using Python, JavaScript, SQL, and Rust;
• Collaborate with internal and external engineers and product managers.

What We're Looking For:

• Experience building and managing data lakes aggregating dozens of data sources and providing insights to multiple different stakeholders based on terabytes of data;
• Experience in GCP and/or AWS data infrastructure products;
• Fluency in writing complex analytical SQL queries;
• Strong communication and remote friendly working skills;
• Bachelor’s Degree in Computer Science, Applied Mathematics or related field is a must.

We'd Love If You Have:

• Deep understanding of DataBricks and BigQuery technologies;
• Knowledge of product analytics tools such as Segment, FullStory, MixPanel or Amplitude;
• Familiarity with crypto or blockchain technologies;
• Experience working at a startup.

Here’s What Our Interview Process Looks Like:

Depending on calendar availability, from the first stage to the final stage, we do our best to keep the entire process to under three weeks. Our interviews take place via Zoom and typically consists of the following stages:

• Internal Recruiter Call (30 to 45 minutes)
• Technical Interviews (4 x 60 minutes) 
• Pagoda Values Interview (30 to 45 minutes)

Please let us know if you require any special requirements for your interview and we’ll do our best to accommodate.

Ideal Location For This Role

This is a fully remote role, so that your timezone matches or overlaps with our leadership for this role, you’ll ideally be located in Americas or Europe.