Job Description
Job Description
The Engineering team at Book of the Month is responsible for developing and maintaining the platform's web and mobile applications. We are looking for a highly organized Data Engineer to facilitate data delivery and reporting across the business. Our user base generates millions of rows of data daily, and you will play a critical role in the way the company uses this information to make business decisions. We're open to a range of experience levels, from engineers earlier in their career looking to grow, through senior engineers ready to shape our data practices.
What you will do…
- Build and maintain a standard set of report-ready data cubes used for reporting and analysis across the company.
- Document and cross-train how best to use our internal data sets to make effective analytical decisions.
- Work closely with other teams such as Product, Marketing, Operations, and Finance to understand company reporting and prioritize the reporting roadmap.
- Collaborate with the Product and Engineering teams to ensure new features and experiments can be effectively measured and reported on.
About You…
- BS in a technical or analytical discipline, or equivalent practical experience.
- Experience as a Data Engineer or in a closely related role. We're open to candidates across a range of experience levels, and scope and ownership will be calibrated accordingly.
- Strong Technical Skills:
- Proficient in writing SQL queries to transform raw user action data into business data; comfort with complex queries scales with seniority.
- Experience with Snowflake is required; hands-on experience implementing OpenFlow with Snowflake is strongly preferred for senior candidates and a nice-to-have for others.
- Experience with Redshift is a plus.
- Scripting skills in Python, R, Bash, or equivalent is required
- Strong critical thinking and problem-solving abilities with the ability to reveal hidden relationships and patterns.
- Ability to collaborate effectively with teams across the company to plan and execute data-driven projects that help make smarter and faster fact-based decisions.
- Ability to multitask in a fast-paced environment.
Salary Range: $100,000 - $150,000
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