We are currently delivering raw data from a number of services to our Snowflake data warehouse. In this role, you will develop an understanding of the underlying business processes that generate the data and use this knowledge to transform the raw data into cleaned object tables.

This part-time position offers the possibility of transitioning to a full-time role based on performance and company needs.

What you’ll do:

• Work with data source tool owners to understand how raw data is generated
• Build models in dbt to transform raw data so that stakeholder questions can be answered quickly and easily
• Document your data models so that data consumers are able to confidently access your work

How success will be measured in this role:

• Completion of cleaned object tables that control for edge cases

If the details below describe you, you could be a great fit for this role:

• 2+ years of experience in Analytics Engineering working with dbt and Snowflake
• Excellent business acumen, with the ability to contextualize information and translate business issues into data models
• Strong SQL and data modeling skills, with experience applying skills to thoughtfully create data models in a warehouse environment
• Experience with the modern data stack (i.e. dbt, Snowflake, and Looker)
• Curious problem solver who can find creative solutions to business and data problems
• Entrepreneurial, self-starter able to make suggestions and promote solutions to stakeholders based on technical capacities
• Excellent communicator with track record of strong collaboration across teams to drive data-driven decision making
• Quantitatively rigorous

Interview Overview

Below you'll find an outline of the interview plan for this role. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

• 30 min interview with a member of our Talent Team
• A 1 hour zoom interview with the hiring manager
• Skills assessment (1 hour max)
• Peer interviews with other team members
• Final call(s) with executive team member(s) 

Salary

In the US, the base salary for this role is between $45 and $48/hour, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. For all other countries, we have competitive pay bands based on market standards.

Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.