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Data Engineer

Remote @NEAR in Engineering
  • Post Date : 01/09/2022
  • Apply Before : 01/10/2022
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Job Detail

  • Job ID 221433
  • Working Hours Full-time
  • Annual Salary ($USD) $100-149k

Job Description

About Pagoda

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.

We are looking for an innovative, empathetic, and productive person who is excited about building the next generation of crypto startups, feels comfortable challenging opinions, and most importantly who shares with us the same desire to make the web free again.

We encourage people of all backgrounds to apply. Pagoda is committed to creating an inclusive culture, and we celebrate diversity of all kinds.

What You’ll Get For Joining:

  • Unlimited Annual Leave / PTO
  • $2,000 Yearly Continued Education Reimbursement
  • $2,000 Home Office Setup Reimbursement
  • Yearly Company Retreats (2022 in Lisbon!)
  • Paid Holiday Week: the last week of the year
  • Paid Summer Wellness Week: the first week of July
  • Mental Health Support and access to licensed therapists through Spill, 100% paid by us

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.

Our Values at Pagoda

Innovate and deliver—so our customers can build. We deliver new solutions for real, often urgent, customer needs. Practical over hype. We uphold our standards of excellence while balancing velocity and pragmatism.

Focus precious time and energy on what matters. We are intentional about where we aim our resources. We channel our talents to focus on the critical missions in order to make an outsized impact.

Favor ownership, agency and action. Everyone is an owner. As individuals, we are responsible and accountable for our work. We empower builders to make decisions and innovate without the burden of unnecessary roadblocks or complexity.

Work as a team of empathetic humans. We practice mutual respect, open communication, humility and collaboration. We are kind and empathetic. We are welcoming towards diversity in all forms, including differences of perspective.

Never break trust. Integrity is rare—and valuable—in this space. Reputation is hard to build and easy to break.

Required skills

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