Data Engineer, Data Platform

Grammarly is excited to offer a remote-first hybrid working model. Team members work primarily remotely in the United States, Canada, Ukraine, Germany, or Poland. Certain roles have specific location requirements to facilitate collaboration at a particular Grammarly hub.

All roles have an in-person component: Conditions permitting, teams meet 2–4 weeks every quarter at one of Grammarly’s hubs in San Francisco, Kyiv, New York, Vancouver, and Berlin, or in a workspace in Kraków. 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.

Grammarly team members in this role must be based in the United States or Canada, and they must be able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based.

The opportunity

Every day, tens of millions of people and 50,000 professional teams worldwide trust Grammarly’s AI and human expertise to help ideate, compose, revise, and comprehend communications. 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 with our tailored service offerings: Grammarly Free, Grammarly Premium, Grammarly Business, and Grammarly for Education. Our latest product offering, GrammarlyGO, brings the power of generative AI to our users. It all begins with our team collaborating in an inclusive, values-driven, and learning-oriented environment.

To achieve our ambitious goals, we’re looking for a Data Engineer to join our Data Engineering Platform team. This person will build highly automated, low latency core datasets that will help data engineers and end users across Grammarly to work with analytical 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 Data Engineer on our Data Engineering Platform team, you will:

• Make analytical data and metrics usable within a few minutes of real world events occuring, and build streaming processes for the output derived events and aggregate data.
• Drive improvements to make our analytics effortless by creating and adjusting core data models and storage structures, all while understanding the needs of our users.
• Build a world-class process that will allow our systems to scale.
• Build and contribute to AWS high-scale distributed systems on the back-end.
• Improve developer productivity and self-serve solutions by contributing components to our stream data processing framework(s).
• Model structure, storage, and access of data at very high volumes for our data lakehouse.
• Own data engineering's infrastructure-as-code for provisioning services that allow our engineers to deploy mature software installations within a few hours.
• Mentor other back-end engineers on the team and help them grow.

We’re Looking For Someone Who

• Has at least some experience building internal Admin sites.
• Has experience with Python, Scala, or Java.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Has experience designing and standing up APIs and services.
• 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 system design and building internal tools.
• 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).
• Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
• Has experience with designing database objects and writing relational queries
• Has experience handling applications that work with data from data lakes.

Support for you, professionally and personally

• 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, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities, such as BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.
• 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 support professional development and advancement with training, coaching, and regular feedback.

Compensation And Benefits

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

• Disability and life insurance options
• Admission discounts
• Caregiver and pet care stipends
• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Paid parental leave
• Learning and development opportunities
• 401(k) and RRSP matching
• Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days
• Wellness stipends
• Home office stipends

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index. 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.

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: $167,000 - $242,000/year (USD)

Zone 2: $150,000 – $218,000/year (USD)

Zone 3: $142,000 – $206,000/year (USD)

Zone 4: $134,000 – $194,000/year (USD)

We encourage you to apply

At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. 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).

Please note that EEOC is optional and specific to US-based candidates.

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All team members meeting in person for official Grammarly business or working from a hub location are strongly encouraged to be vaccinated against COVID-19.