Data Engineer/Software Engineer - Data

Mountain View, California

Confluent, Inc. logo
Confluent, Inc.
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Posted 1 week ago

At Confluent, we’re creating a category that transforms how every company manages and streams data. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s Confluent in action—giving our customers instant access to massive amounts of real-time data, enabling them to thrive in an ever-changing digital world. As one of the fastest-growing enterprise companies in history, and with Fortune 100 customers across major industries, we have a tremendous opportunity in front of us. We also have experience on our side. Our leaders have taken companies of our size to major success before and include some of the original creators of Apache Kafka®.
We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s unlimited potential. Chart your own path and take healthy risks with the backing and support of our #OneTeam culture. Be part of inclusive initiatives like Employee Resource Groups and development programs, and take advantage of benefits that support our diverse global teams. Grow as we grow—whether you’re just starting out or managing a large team, you’ll be amazed at the magnitude of your impact.
About The Team:The mission of the Data team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructure, insights, models and tools, to empower data-driven thinking, and optimize every part of the business. This position offers limitless opportunities for an ambitious data engineer to make an immediate and meaningful impact within a hyper growth start-up, and contribute to a highly engaged open source community.
About The Role:This role will take on a new initiative - build a streaming ETL and analytics infrastructure using Kafka to provide real-time visibility and insights into business operations. By doing so, it will also help form a strong feedback loop with the Product team to help inform Confluent’s product direction and market growth.
In this role you will have the opportunity to work with the Kafka and the Product team at Confluent and help influence the product direction and take Kafka’s Cloud Native journey to the next level.
You are encouraged to think out of the box and play with the latest technologies while exploring their limits. Successful candidates will have strong technical capabilities, a can-do attitude, and are highly collaborative.

Responsibilities

  • Design and build a highly available and durable event streaming infrastructure which provides end-to-end latency guarantee
  • Develop strong subject matter expertise and manage the SLAs for those data pipelines
  • Partner with Data Scientists and business partners to onboard more use cases to this streaming platform to empower every aspect of our business.

What We're Looking For

  • Bachelor or advanced degree in Computer Science, Engineering, or related technical discipline
  • 3+ years of experience in a Software Engineering or Data Engineering role, with a focus on building event streaming applications.
  • Strong knowledge of streaming data architectures and data infrastructure ecosystem.
  • Experience with Kafka in a high-throughput production environment.
  • Excellent programming skills in Java and/or PythonSolid experience building large scale distributed software systems.
  • An innate desire to deliver and a strong sense of accountability for your work
  • The ability to communicate cross-functionally, derive requirements and architect; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
  • The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful.

What Gives You An Edge

  • Experience with other Kafka components such as Connect and ksqlDB.
  • Working knowledge of SQL and data analytics at scale.
  • Familiarity with AWS, GCP or Azure cloud environments and technologies.
  • Experience with enterprise business systems such as Salesforce, Marketo, Zendesk, etc.
  • Product mindset to understand business needs, and come up with scalable engineering solutions
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact.
Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
Job tags: AWS Data Analytics Engineering ETL Java Kafka Open Source SQL
Job region(s): North America
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