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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're in search of a Lead Data Engineer who finds satisfaction in constructing applications to manage operations on a global scale. In this role, you'll collaborate extensively with engineering, operations, and product teams to implement new applications onto our data framework, enhance existing outdated components, and conceive novel functionalities for our products. This opportunity calls for an individual enthusiastic about large-scale data technologies, adept at tackling intricate problems, skilled in teamwork, and possessing a mindset geared towards continual development.
Qualifications
- Proficiency with Open Source and Big Data technologies
- Hands-on experience with Hadoop, Cloudera, or similar platforms
- Expertise in Java development, with a focus on crafting efficient and scalable solutions
- Strong background in messaging systems like Kafka, ensuring seamless data integration and communication
- In-depth knowledge of SQL/NoSQL technologies to manage and analyze large-scale datasets
- Proven ability to design and develop complex workflows using Oozie or Airflow
- Demonstrated success in building secure, scalable, and high-performance big data platforms to handle and analyze complex data using open-source tools
- Familiarity with cloud computing infrastructure (e.g., AWS, GCP, Snowflake), with a deep understanding of scalable, distributed systems
- Experience with a range of analytical tools, languages, or libraries
- Expertise in architecting and implementing large-scale data intelligence solutions, especially within Snowflake Cloud Data Warehouse, is a bonus
- Excellent communication skills with a collaborative approach, comfortable engaging with business, product, and development teams
- A strong team player who takes pride and ownership in collective accomplishments
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 BoomCNBC: Harvard professor on A.I. job risks: We need to upskill ad update business modelsZDNet: Why open source is essential to allaying AI fears
Information about the founders:Tad MartinStephen MesserHeidi Messer
United States
