Software Engineer, Data Engineering

Grammarly is excited to offer a remote-first hybrid working model. Grammarly team members in this role must be based in the United States, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of the Fortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we are looking for an experienced Software Engineer, Data Engineering, who can lead independently and drive projects end to end. The person in this role will build highly automated, low-latency core datasets to help engineers and end users across Grammarly work with analytical data at scale. They will also create tools and own back-end software frameworks, platforms, and tools that other teams can use to build analytics 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. You can hear more from our team on our technical blog.

The Data Engineering team has a critical mission to equip all Grammarlians with the data and tools they need to build analytical products and make decisions. To deal with the massive scale of data, our team employs software design principles to keep our data healthy and freely flowing. 

In this role, you will:  

• Build data pipelines and infrastructure for optimal extraction, transformation, and data loading from various sources.
• Design & improve data models, storage structures, and tools for easy data discovery, increased visibility, and accessibility to enable rapid development of Analytics Dashboards and ML experiments.
• Work closely with ML and Analytics teams to streamline & optimize data delivery and processing and help land business-critical projects.
• Address data latency and scalability issues and ensure frequent and reliable data refresh for downstream processes.
• Model structure, storage, and data access at very high volumes for our data lakehouse.
• Improve developer productivity and self-serve solutions by contributing components to our stream data processing framework(s).
• Own data engineering's infrastructure-as-code for provisioning services that allow our engineers to deploy mature software installations within a few hours.
• Build a world-class process that will allow our systems to scale.
• Mentor other back-end engineers on the team and help them grow.

Qualifications

• Has experience building and owning data pipelines to structure, enrich, and aggregate data and generate features using technologies like Spark, Flink, Kafka, Kinesis, etc.
• Leads design reviews and is a driving force to change how data is stored and accessed from the data platform.
• Is familiar with Python, Scala, or Java.
• Has experience with designing database objects and writing relational queries.
• Has experience designing and standing up APIs and services.
• Has experience with system design and building internal tools.
• Can knowledgeably choose an open-source or third-party service to accomplish what they need or can devise a quick and simple solution independently.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
• Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

Compensation and Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and unlimited sick days 
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations. 

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.

United States: 

Zone 1: $160,000 - $194,000/year (USD)

Zone 2: $144,000 - $174,000/year (USD)

For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information. 

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).