Lead Data Engineer at Collective[i]

Collective[i] logo
Collective[i]

Lead Data Engineer

Remote

Full Time

#Engineering

#Open Source

#Big Data

#Hadoop

#Java

#Kafka

#SQL

#NoSQL

#Oozie

#Airflow

#AWS

Collective[i] is looking for a Lead Data Engineer

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At Collective[i], we are building an Economic Foundation Model that studies how the world does business. Our mission is to help people and companies achieve prosperity by harnessing insights from over a decade of data collection. With more than $100 million invested and backed by over 20 patents, our platform helps businesses generate sales and individuals expand their professional networks. We are a team of scientists, engineers, and creative thinkers who value diversity and a shared commitment to excellence. If you are looking to work with world-renowned entrepreneurs and experts on the bleeding edge of technology, we invite you to join our community.

Role at a glance

We are looking for a Lead Data Engineer to join our team on a full-time basis. This is a remote position, allowing you the freedom to work from anywhere you choose. As a lead-level engineer, you will play a pivotal role in managing operations on a global scale while helping us push the boundaries of what our platform can achieve.

Your impact

  • Collaborate across engineering, product, and operations teams to integrate new applications into our existing data framework.
  • Modernize outdated components to ensure our systems remain efficient and high-performing.
  • Design and implement novel functionalities that enhance the capabilities of our products and data intelligence solutions.

What you'll need

We are looking for someone who is passionate about large-scale data technologies and enjoys solving intricate technical problems. You should be a strong communicator who thrives in a collaborative, team-oriented environment.

  • Proficiency in Open Source and Big Data technologies, including hands-on experience with Hadoop.
  • Expertise in Java development for building scalable solutions.
  • Experience with messaging systems like Kafka for seamless data integration.
  • Strong knowledge of SQL and NoSQL databases for managing large datasets.
  • Ability to design complex workflows using Oozie or Airflow.
  • Familiarity with cloud infrastructure, specifically AWS.
  • Fluency in English.

Perks and compensation

We believe in providing our team with the platform to contribute their best work while maintaining a healthy work-life balance. Our benefits include:

  • The flexibility of remote work.
  • The opportunity to grow alongside a tenacious, world-class team.
  • A culture that prioritizes curiosity, direct communication, and collective success.
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Collective[i]

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Collective[i]

Senior Data Engineer

Remote

Full Time

#Engineering

#Big Data

#Artificial Intelligence

#Open Source

#Hadoop

#Cloudera

#Java

#Kafka

#SQL

#Oozie

#Airflow

#Cloud Computing

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Collective[i]

Director of Product

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#AI

#Sales Enablement

#Machine Learning

#Natural Language Processing

#Product Management

#Product Strategy

#Technical Background

#Business Acumen

#Analytical Skills

#Problem Solving

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Collective[i] logo
Collective[i]

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#Artificial Intelligence

#Sales Enablement

#AI

#Machine Learning

#Natural Language Processing

#Product Management

#Product Strategy

#Team Management

#Business Development

#Analytical Skills

#Problem Solving

#Technical Skills

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