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Software Engineer, Back-End (Data Engineering)

Grammarly
NA; HybridRemotefull_timeVerifiedPosted 3 Mar 2023
💰 $308,000/yr($181,000/yr$308,000/yr)

About the role

Grammarly is excited to offer a remote-first hybrid working model. Team members can work primarily remotely in the United States, Canada, Ukraine, Germany, Poland, or Portugal. Conditions permitting, teams will meet in person a few weeks every quarter at one of Grammarly's hubs in San Francisco, Kyiv, New York, Vancouver, and Berlin, or in a workspace in Kraków.

We believe this balanced, flexible approach gives our team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust, unlocks creativity, and further fuels innovation.

Grammarly team members in this role must be based in the United States or Canada.

The opportunity 

Every day, tens of millions of people and 50,000 professional teams rely on Grammarly’s AI-enabled communication assistance to help them communicate confidently and achieve their goals. Our team members have the autonomy to take on exciting challenges in pursuit of our mission to improve lives by improving communication. Together, we’re building on more than a decade of steady growth and profitability. We’re defining the communication assistance category for individuals, enterprises, and developers with tailored service offerings: Grammarly Premium, Grammarly Business, Grammarly for Education, and Grammarly for Developers. All of this begins with our team collaborating in an inclusive, values-driven, and learning-oriented environment.

To achieve our ambitious goals, we’re looking for a Software Engineer to join our Data Engineering Platform team. This role will build back-end systems to enable data management and create full-stack software tools to help data engineers and end users work with data at scale.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.

Your impact

As a Software Engineer on our Data Engineering Platform team, you will:  

  • Own data engineering's infrastructure as code codebase.
  • Build a world-class process that will allow our systems to scale.  
  • Create internal sites and/or standup resources that help users understand data and application health. 
  • Mentor other back-end engineers on the team.
  • Build and contribute to AWS high-scale distributed systems on the back-end.

We’re looking for someone who.

  • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
  • Is able to collaborate in person 2–4 weeks per quarter, traveling if necessary to the hub where the team is based.
  • Has experience with Python, Scala, or Java.
  • Has experience designing and standing up APIs and services.
  • Has experience with system design and building internal tools.
  • Has experience handling applications that work with data from data lakes.
  • Has at least some experience building internal Admin sites.
  • Has good knowledge of and at least some experience with AWS (or, alternatively, has deep expertise in Azure or GCE and is willing to learn AWS in a short time frame).
  • Can knowledgeably choose an open source or third-party service to accomplish what they need or, alternatively, can devise a quick and simple solution on their own.
  • Has experience with designing database objects and writing relational queries. 

Support for you, professionally and personally

  • Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.
  • A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gr

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Grammarly

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