Data Engineering Intern

(Remote, Canada)

Collective[i]

Collective[i]’s network of sales activity data combined with Artificial Intelligence and predictive technology map the B2B buying process to grow revenue.

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At Collective[i], we value diversity of experience, knowledge, backgrounds and people who share a commitment to building a company and community on a mission to help people be more prosperous. We recruit extraordinary individuals and provide them the platform to contribute their exceptional talents and the freedom to work from wherever they choose. Our company is a wonderful place to learn and grow alongside an incredible and tenacious team.    Collective[i] was founded by three entrepreneurs with over $1B of prior exits. Their belief in the power of Artificial Intelligence to transform life as we know it and improve economic outcomes at massive scale drove the decision to invest over $100m in the company which has created a state-of-the-art platform for prosperity that helps companies generate sales and people expand their professional connections. In the last decade, Collective[i] has grown into a powerful community of scientists, engineers, creative talent and more, working together to help people succeed in business. 

We are looking for a Data Engineering Intern to join our team. 

Responsibilities:

  • Work with Snowflake for data storage and retrieval, ensuring optimal performance and cost-effectiveness
  • Utilize dbt for transforming and modeling data to create analytics-ready datasets
  • Develop proficiency in SQL for querying and manipulating data
  • Develop, execute, and document software solutions to address complex data ingestion, processing, and transformation
  • Participate in code reviews and adhere to best practices in data engineering
  • Document technical processes and data schemas for future reference and team use

 

Qualifications: 

  • Currently pursuing a degree in Computer Science, or a related field
  • Basic understanding of data warehousing concepts and ETL processes
  • Familiarity with SQL and interest in learning more advanced techniques
  • Exposure to Snowflake, dbt or similar data engineering tools is a plus
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities.
  • Eagerness to learn and adapt in a fast-paced environment.

 

Compensation range for this role if located in the United States.$15—$15 USDCompensation range for this role if located in the Canada.$20—$20 CAD    Collective[i] is on a mission to help people and companies prosper. Backed over 20 patents and developed by a team of world renowned entrepreneurs, engineers, scientists, and business leaders, Collective[i] is an Economic Foundation Model (“EFM”) that studies how the world does business. Collective[i]’s advisors include a world renowned economist, the former Vice Chair of the Federal Reserve, founders of Comcast, Instagram, MySQL, and former executives from Tesla, NewsCorp, USANetworks, and others.    Harnessing insights from more than a decade of data collection, our EFM has been trained on trillions of dollars of data to unearth successful buying and selling patterns. With Collective[i], any person or company can plug in their own data and receive customized insights that help them maximize economic opportunity and adapt to changing market conditions.   Founded and managed by the early teams behind LinkShare (purchased for $425m) and Overstock (NASDAQ:OSTK), Collective[i] is a private 100% remote company.   Our core values help shape our culture: We are curious. We are direct. We deliver. We succeed together. We strive for the extraordinary. If you enjoy a challenge, thrive in an innovative environment and welcome the opportunity to work with amazing humans operating on the bleeding edge of technology, Collective[i] is the place for you.     Recent press: Forbes: Stephen Messer: Amazon Missed The AI Boom  CNBC: Harvard professor on A.I. job risks: We need to upskill ad update business models  ZDNet: Why open source is essential to allaying AI fears     Information about the founders: Tad Martin Stephen Messer Heidi Messer
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Category: Engineering Jobs

Tags: CAD Computer Science Data Warehousing dbt Engineering ETL MySQL Open Source Snowflake SQL

Regions: Remote/Anywhere North America
Country: Canada

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