Data Scientist, Confluent

Product

$139.2-163.6k

+ Bonus & equity

SQL
Python
Tableau
Mid and Senior level
Remote in US
Confluent

Data streaming platform

Open for applications

Confluent

Data streaming platform

1001+ employees

B2BEnterpriseInternal toolsBig dataCloud Computing

Open for applications

$139.2-163.6k

+ Bonus & equity

SQL
Python
Tableau
Mid and Senior level
Remote in US

1001+ employees

B2BEnterpriseInternal toolsBig dataCloud Computing

Company mission

Founded by the team that built Apache Kafka, their mission is to make managing Kafka easy.

Company mission

Founded by the team that built Apache Kafka, their mission is to make managing Kafka easy.

Led by a woman
Top investors

Few candidates hear
back within 2 weeks

27% female employees

14% employee growth in 12 months

Our take

Confluent is a commercial company built on top of the open-source Apache Kafka project. Confluent and Kafka have developed a streaming data technology that processes massive amounts of information in real-time.

The streaming database technology was developed at LinkedIn as a way of moving massive amounts of messages. The company decided to open-source that tech in 2011, and Confluent launched as the commercial arm in 2014.

While the base open-source component remains available for free download, it doesn’t include the additional tooling the company has built to make it easier for enterprises to use Kafka. Confluent's value add is in those additional tools, including a cloud version of the product and a marketplace for sharing extensions to the platform.

Confluent expanded strategic partnerships with Microsoft and acquired Immerok, and in 2023 expanded its cloud platform. 2024 saw further product expansions with the launch of the Confluent Migration Accelerator, all exemplifying how the company is living up to its name by rocket-boosting the benefits of Apache Kafka integration for companies.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Benefits

  • Unlimited Holiday
  • Delicious Food on us (twice a week)
  • Life Insurance & Income Protection Insurance

Company values

  • Earn Our Customers' Love - Our customers are the lifeblood of our business and our most important stakeholder. We strive to earn their love with everything we do
  • To Build a Great Company, Build a Great Team - We believe that an important part of building a great company is making sure that our employees are the best they can be.
  • Smart, Humble, and Empathetic - Our employees appreciate, benefit, and learn from working with other smart, humble, and empathetic people. We strive to hire those who care deeply about others and interact with empathy towards our customers, partners, and employees.
  • Be Fired up and Get It Done - As much as we benefit from working with smart, humble, and empathetic employees, we also need to “get it done” to pursue our enormous market opportunity. We are in hyper-growth mode and are scaling to fill the demands of the market and our current and future customers.
  • Tasteful not Wasteful - We want to invest in areas that matter the most -- in other words, spend “tastefully,” not wastefully. We believe that thoughtful spending is essential to building a high-quality business.
  • One Team - It is critical that we act as and make decisions as a unified company, doing our best to optimize globally rather than locally. This means doing our best to avoid the misalignments that some companies can be prone to. It means recognizing that when employees and teams succeed, Confluent as a whole succeeds.

Funding (last 2 of 5 rounds)

Apr 2020

$250m

SERIES E

Jan 2019

$125m

SERIES D

Total funding: $455.9m

This company has top investors

Leadership

Jay Kreps

(Co-Founder & CEO)

Previously a Principal Engineer at LinkedIn.

Neha Narkhede

(Co-Founder & Board Member)

Previously a Lead Engineer at LinkedIn and Oracle. They are an Investor/advisor for Gem, Block Party, Material Security, Abacus AI, Cortex Data, Yugabyte, Metaphor Data, Natalist, Common Room, and more.

Jun Rao

(Co-Founder)

Previously a Senior Engineer at LinkedIn. Has a PhD in Computer Science from Columbia University.

Jobs (49)

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Other Engineering

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