Software Engineer, Data Platform

Grammarly team members in this role must be based in San Francisco, and they must be able to collaborate in person at least 2 weeks per quarter, traveling if necessary to the hub(s) where the 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.

To achieve our ambitious goals, we’re looking for a Software Engineer to join our Data Platform team and help us build a world-class data platform. Grammarly’s success depends on its ability to efficiently ingest over 60 billion daily events while using our systems to improve our product. This role is a unique opportunity to experience all aspects of building complex software systems: contributing to the strategy, defining the architecture, and building and shipping to production.

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.

As a Software Engineer on the Data Platform team, you will contribute to building the scalable, secure, and efficient data systems that power our entire organization. You’ll work on designing and implementing critical data infrastructure and systems that enable real-time and batch processing, data analytics, and machine learning workflows. This role offers the opportunity to rapidly grow your data engineering and back-end infrastructure skills while working alongside experienced engineers.

You will be able to work with cutting-edge technologies and tools, contributing to projects that handle large-scale data pipelines, build secure and compliant data systems, and improve our data platform’s performance and scalability. In this role, you will:

• Build and maintain key components of the data platform, including data pipelines and infrastructure for data storage, processing, and delivery.
• Learn and apply concepts in data engineering, such as distributed data processing, real-time data streams, and batch processing.
• Work with technologies like Spark, Kafka, SQL, and cloud platforms (AWS) to deliver scalable and reliable data systems.
• Collaborate with cross-functional teams, including data scientists, ML engineers, and back-end developers, to help build data-driven solutions and tools.
• Ensure that systems are scalable and performant, contributing to the overall reliability and efficiency of the data platform.

Qualifications

• Has 2-5 years of software engineering experience, with an aptitude for data infrastructure or data engineering.
• Is a fast learner who is eager to develop their skills in building large-scale distributed systems and data platforms.
• Has experience with some of the following: Python, Java, Scala, SQL, or cloud technologies (AWS, GCP, Azure).
• (Preferably) understands basic data concepts such as data pipelines, ETL processes, and real-time/batch data processing.
• Is familiar with data technologies like Spark, Kafka, Kinesis, or similar tools, and is interested in expanding their knowledge in these areas.
• Has strong problem-solving skills and is passionate about learning how to build and scale data systems.
• 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 flexible sick time
• 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.

San Francisco: 

Zone 1: $160,000 – $194,000/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).