Senior Data Analytics Engineer

ThriftBooks•Tukwila, WA

1d•Hybrid

About The Position

ThriftBooks is the world's largest used book retailer! We believe in a workplace where respect for our employees matters, where promoting from within is how we grow, and where safety comes first in all our decisions and planning. At ThriftBooks, your work will help get inexpensive books into the hands of people who need them instead of going into landfill. We strive to create a friendly work environment with high standards of performance and rewards for excellence. We started out small and remember that encouraging people to do their best is how we expanded to our current scale. If you want to learn about the intersection of technology, innovation, and good old-fashioned teamwork, we might be a good fit for you. Wherever you start in the company, our hope is that it is a launching point to higher achievement. At ThriftBooks, your success is up to you. We are growing & looking for a Senior Analytics Engineer to join our Team. The primary purpose of this position is to be at the forefront of building and maintaining the data infrastructure that supports key decision-making across the organization. Their mission is to make working with data a delightful experience for data scientists, business and engineering partners, and executives across the organization.

Requirements

5+ years experience writing performant, scalable SQL models on large data sets
Proficient in dbt, Snowflake (or similar data warehouse), BI visualization
The ability to break large problems into small, testable, deployable solutions
Strong problem-solving skills with a focus on finding scalable and effective solutions for business problems
Excellent communication skills - experience communicating technical topics to non-technical people, translating business needs into technical implementations, and liaising between Business, Engineering, and Analytics
Curiosity: eagerness to learn the business so that you can help use data to drive impactful decisions across teams
Proven track record of delighting data consumers

Nice To Haves

Familiarity with data governance and security best practices
Experience with data storage technologies outside of our regular stack
Software engineering background - C#, React, PowerShell, Python

Responsibilities

Use dbt to deliver well-defined, transformed, tested, documented, and code-reviewed data sets
Promote software engineering best practices through thoughtful code review and mentorship of junior team members
Work to understand and solve business partners’ data-related challenges, understand their analytical needs, and deliver efficient data solutions.
Proactively anticipate future business needs, incorporating these into your solutions, even when those needs aren’t immediately apparent.
Build and manage ELT pipelines with off-the-shelf tools like Fivetran and Stitch
Troubleshoot data anomalies with engineering teams
Educate and empower your customers to use data in their decision making
Craft data requirements for the engineering teams
Manage and optimize Snowflake data warehousing to ensure data quality, availability, performance, and governance
Keep up to date on data technologies in our stack and in the broader data ecosystem