Data Engineer

New York, NY

Full Time

Engineering

Mid Level

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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employees (employee_id, name, department_id, salary, hire_date)
departments (department_id, department_name)

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