Grammarly is excited to offer a remote-first hybrid working model . Team members work primarily remotely in the United States, Canada, Ukraine, Germany, Poland, or Portugal. 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 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 Data Engineer to join our Data Platform team. The Data Platform team is responsible for all aspects of the data lifecycle here at Grammarly.
As a rapidly growing company, we offer opportunities to join a team and learn from experienced peers, as well as opportunities to build product offerings and teams from the ground up. Within our growing engineering organization, there is plenty of room for ownership and direct impact on users.
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, you will create engineering and analytical efficiencies as the owner of our company-wide data lake. Our cutting-edge data lake is the central hub for all data producers and data consumers, so your impact will span all of Grammarly. You will have the opportunity to design and code highly optimized algorithms and datasets.
Data engineers are responsible for making disparate data centrally available to Grammarly’s team members while ensuring query efficiency and efficacy. The technical requirements of this role include a deep understanding of the querying engine of Spark, the performance (read/write) optimization of Delta tables, data modeling, data transformation at scale, Python or Scala coding abilities, and advanced SQL skills. The backbone of a Data Engineer at Grammarly’s success will be communication, stakeholder management, and a passion for data.
We invite you to share your knowledge, experience, and goals with us to help us find the best team match for you. Tell us your superpower!
In This Role, You Will
- Start building and pushing code in your first week and ship meaningful features in your first few months.
- Build algorithms that allow for the quick and efficient retrieval of large amounts of data.
- Build datasets that create fact-based insight, influence operational decision-making, and provide data-driven business solutions.
- Have the opportunity to mentor new hires.
- Shape and build a technical and data-driven culture at Grammarly.
We’re Looking For Someone Who
- Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
- Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
- Has at least 2 years of experience using large-scale data-analytics engines like Spark.
- Displays excellent software-engineering fundamentals, including knowledge of algorithms and data structures.
- Demonstrates perseverance when faced with tough technical issues.
- Has some experience with AWS or other cloud offerings (GCP, Azure, etc.).
- Has experience building, deploying, and debugging production systems at scale.
- Cares about the end-user experience and strives to ensure high quality.
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 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, 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.
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
- Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days
- Home office stipends
- Caregiver and pet care stipends
- Wellness stipends
- Admission discounts
- Learning and development opportunities
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, 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 - $202,000 /year (USD)
Zone 2: $150,000 – $182,000 /year (USD)
Zone 3: $142,000 – $172,000 /year (USD)
Zone 4: $134,000 – $162,000 /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.
#NA
Please note that Grammarly’s COVID-19 vaccination policy requires that all team members in North America be vaccinated against COVID-19 to meet in person for Grammarly business or to work from a North America hub location. It is expected that this will be a requirement for this role. Qualified candidates in North America who cannot be vaccinated for medical reasons or because of a sincerely held religious belief may request a reasonable accommodation to this policy. For Europe, this policy requires team members to be vaccinated or produce a daily negative COVID-19 test administered on-site to work from the hub or attend in-person meetings.
