Sr. Data Engineer

Sr. Data Engineer

This job is no longer open

About Moonshot Brands

We are Moonshot Brands, a Y-combinator-backed company (W21) with $160M in debt and equity funding from leading Silicon Valley VC firms, including Victory Park Capital, Liquid 2 Ventures (Joe Montana), and Garage Capital. Among our founding team of MIT Sloan and Wharton graduates, we have operated and sold five businesses and have come together as Moonshot Brands to acquire, operate, and grow profitable e-commerce brands.

From our experience, we want to build the acquisition process that we wish we could have had and to provide the post-acquisition resources to grow your business to the fullest potential. As entrepreneurs ourselves, we believe in empowering our founders, giving them a stake in Moonshot’s continued success, and collaborating with an all-star team to change the e-commerce landscape. We connect our portfolio to growth capital, data, and expertise in operations, marketing, supply chain management, and product development to provide owner-operators with infrastructure to grow and compete at scale. At the same time, we believe in our entrepreneurs and want to keep them engaged in the shared success of Moonshot Brands by offering meaningful equity tied to Moonshot’s mission. Moonshot is building a technology-centric ecosystem to provide our portfolio with cutting-edge tools and data-driven insights to succeed in global marketplaces. From inventory forecasting to performance marketing and automations, we are building the technology that allows brands to achieve peak performance and win in their markets.

If you’d like to be part of this Moonshot which will be a fun fast-paced rocketship that will drive the future of e-commerce brands and you think you add significant value to our mission we’d love to hear from you.

About the Role

Sr. Data Engineer is a high-impact leadership role at Moonshot Brands. In this role you will work to shape the technology strategy and development of the Moonshot Brands Platform from a Data Engineering perspective. Preferred qualifications:

Preferred qualifications:

  • 4+ years working with ETL/ELT, and reporting and analytic tools.
  • 2+ years working with Google Cloud data warehouse technical architectures and infrastructure components.
  • 1+ years working with DBT analytics engineering workflow
  • 5+ years working in eCommerce, Inventory, Finance, logistics, or SAAS
  • Proficient in SQL and Data Analysis

About the job

We enable brand managers to grow their brands 100x faster by providing them the insight they need in real-time, automating repeatable & predictable tasks, and streamlining their brand expansion to new sales/marketing channels.Help us improve our data-driven intelligent platform to optimize and grow E-commerce businesses with cutting edge technology.

Responsibilities

  • Build scalable data platforms and support the fast-growing data within the business.
  • Implement API based integrations with external platforms and tools
  • Develop, maintain and refactor data models & pipelines that allow the business to get maximum value from our data, with high quality, clean, maintainable code
  • Curate, organize and document data definitions, metrics and reporting environments across raw datasets, dbt, and Looker to unlock value and drive efficiency
  • Ensure data quality and integrity through well-defined acceptance criteria and testing. Manage monitoring and observability tooling of the data pipelines
  • Helping define and improve our internal standards for architecture, style, maintainability, and best practices for a high-performance data organization
  • Mentor and develop junior data engineers in adopting best practices
This job is no longer open
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