Data Engineer

Mountain View, California

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Confluent, Inc.
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Posted 3 weeks ago

Dubbed an "open-source unicorn" by Forbes, Confluent is the fastest-growing enterprise subscription company our investors have ever seen. And how are we growing so fast? By pioneering a new technology category with an event streaming platform, which enables companies to leverage their data as a continually updating stream of events, not as static snapshots. This innovation has led Coatue Management, Altimeter Capital and Franklin Templeton to join earlier investors Sequoia Capital, Benchmark, and Index Ventures in the recent Series E financing of a combined $250 million at a $4.5B valuation. Our product has been adopted by Fortune 100 customers across all industries, and we’re being led by the best in the space—our founders were the original creators of Apache Kafka®. We’re looking for talented and amazing team players who want to accelerate our growth, while doing some of the best work of their careers. Join us as we build the next transformative technology platform!
About the Team:
The mission of the Data Science 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: As a Data Engineer, you will take on big data challenges in an agile way. You will build data pipelines that enable data scientists, GTM operation teams, and executives to make data accessible to the entire company. You will also build data models to deliver insightful analytics while ensuring the highest standard in data integrity. 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.
This is a partnership-heavy role. As a member of the Field Ops Data Science team, you will enable all the Go-to-Market functions of the company, i.e. Sales, Customer Success, Business Development, Marketing, to be data-driven. This role will be located in Mountain View, CA.

Responsibilities:

  • Design, build and launch extremely efficient and reliable data pipelines to move data across a number of platforms including Data Warehouse and real-time systems
  • Developing strong subject matter expertise and manage the SLAs for those data pipelines; improve existing or develop new tools to detect data anomalies real time and through offline metrics
  • Data Modeling - Partner with analytic consumers to improve existing datasets and build new ones
  • Set up and improve BI tooling and platforms to help the team create dynamic tools and reporting
  • Partnering with Data Scientists and business partners to develop internal data products to improve operational efficiencies organizationally

What We're Looking For:

  • 3+ years of experience in a Data Engineering role, with a focus on data warehouse technologies, data pipelines and BI tooling
  • Bachelor or advanced degree in Computer Science, Mathematics, Statistics, Engineering, or related technical discipline
  • Expert knowledge of SQL and of relational database systems and concepts
  • Strong knowledge of data architectures and data modeling and data infrastructure ecosystem
  • Experience with enterprise business systems such as Salesforce, Marketo, Zendesk, etc.
  • Experience with ETL pipeline tools like Airflow, and with code version control systems like Git
  • The ability to communicate cross-functionally, derive requirements and architect shared datasets; 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.

Additional Highly Desirable Experience:

  • Experience with Apache Kafka
  • Knowledge of batch and streaming data architectures
  • 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: Airflow Big Data Engineering ETL Kafka Marketing Open Source SQL