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

Full Time Lead Remote Engineering Open Source Big Data Hadoop Java Kafka SQL NoSQL Oozie Airflow AWS English Remote work

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Modernize outdated components to ensure our systems remain efficient and high-performing.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.

Collective[i]

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Collective[i]

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Lead Data Engineer at Collective[i]