Estuary’s looking for a data engineer who can be a leading technical voice about best practices, and how to build modern data pipelines. Estuary Flow is a real-time ETL and CDC platform as a service that lets data engineers build a unified data pipeline from many sources to many targets in minutes.  

As a technical face of Estuary, you'll play a pivotal role in building the data engineering community, teaching fellow data engineers best practices and how to use Estuary Flow, and helping make customers successful. 

The ideal candidate has not only worked as a data engineer but has also been outspoken in sharing best practices with the data engineering community through blogs, tutorials, webinars or videos, or face-to-face events. 

While you will need to perform many activities that fall under developer advocacy, and you should enjoy doing these activities and working with customers, first and foremost you should be an experienced data engineer. 

Responsibilities:

• Explain data engineering best practices to the data engineering community through posts, articles, videos, podcasts or webinars.
  
• Create data pipelines and tutorials, and give demos to explain best practices or key features to data engineers.
  
• Work with the Estuary community to help companies discover, learn, and adopt Estuary Flow.
  
• Collaborate closely with engineering  to ensure high-quality product, documentation, tutorials, and articles.

What We're Looking For:

• 5+ years of combined experience in data engineering including several data pipeline deployments or working with customers on their deployments.
  
• Experience publishing articles, giving technical webinars and presentations, or creating tutorials and implementation guides.  
• Strong speaking and writing skills in English.
  
• Experience working in startup environments is preferred.
  
• A proactive, entrepreneurial mindset, with experience in founding companies or working on side projects being a bonus!

Estuary builds connectivity infrastructure, which allows teams to integrate real-time and historical data, eliminating the need for engineering teams to manage data infrastructure.

We are looking for engineers who are passionate about building innovative technology that challenges the status quo of modern data processing tools.  Our team is small but mighty.  This is just the beginning of our story and your work will see a direct impact on our product roadmap and the data industry at large.  

Responsibilities:

• Design, implement, deploy, test and maintain substantial projects in Rust and Go
• Participate in the design and development of a large scale distributed system
• Collaborate with other engineers, founders, and product management to build innovative data infrastructure solutions
• Participate in the design and development of architectural initiatives
• Write code and participate in reviews
• Troubleshoot and debug complex technical issues
• Stay up to date on current technologies 

Qualifications:

• 3+ years of industry experience working on large-scale backend software development
• A strong desire to work collaboratively with a team
• A passion for continuous learning
• Eagerness to take on new challenges independently
• Clear and effective communication, both written and verbal

Bonus:

• Experience working in large scale, distributed systems and cloud environments
• A knowledge of programming in Rust and Go
• Contribution to open-source communities
• A background in start-up environments