Brandless is reinventing modern consumption by making better stuff at fairer prices available to everyone. We're starting with our everyday essentials collection: better-for-you versions of the things you use all the time, from snacks to soap to spoons. All for just $3. We created and curated products that match your values and requirements, from organic to gluten-free to paraben-free. Plus, with every order placed on Brandless.com, a meal is donated to people facing hunger through Feeding America.
The data team plays a crucial role in the growth of Brandless as we partner with engineering, product, marketing, operations and other teams to lead data-driven decisions and product design. We are excited to reinvent modern consumption and we are the data experts behind our mission.
As the first Data Engineer at Brandless, you will support the analytics and algorithms teams to scale and improve our data infrastructure. We maintain complex analytics data models from a variety of sources and production machine learning models, but we have only just begun building our infrastructure. You will take these tools to the next level and build the systems we need next.
The team is growing quickly and each member will greatly shape the future of our impact on Brandless. You will have the opportunity to both learn from existing members and mentor your future colleagues.
This position is located in our HQ in San Francisco.
Own and maintain our core data warehouse in Redshift. This will include building out monitoring systems and determining when other datastores might be needed as we grow to a massive scale.
Onboard both internal and external data sources to empower our analytics and algorithm teams.
Optimize, refactor and grow our existing data model ETL infrastructure (Airflow).
Partner with the engineering team to help design data structures for new features in production and ensure the data team isn't impacted by these changes.
Work closely with the algorithms team to maintain and improve our production machine learning model serving infrastructure.
Work closely with the analytics team to support our business intelligence tool (Looker).
Monitor new systems, tools and technologies in the data engineering world and bring these tools to Brandless.
BS in Computer Science, Mathematics, Statistics or similar technical field of study, or equivalent practical experience
At least 2 years of data engineering experience at a fast growing company
Expertise in SQL and data model design
Experience maintaining large-scale data stores (Redshift, BigQuery, etc..)
Proficiency in production-level Python programming
Experience implementing and optimizing a workflow scheduler (Airflow, Luigi, etc..)
Working knowledge of Spark and distributed systems
Working proficiency and communication skills in verbal and written English
MS/PhD in a technical field of study
Experience with R and other statistical tools
Experience developing large scale in-production machine learning serving systems
Working knowledge of the LookML language
Brandless provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Brandless follows applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.