Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Grammarly offers a dynamic hybrid working model that combines focus time with in-person collaboration. Team members must be based in San Francisco or New York City.
You will architect and lead the development of large-scale systems for data pipelines and data lakes handling billions of daily events, design scalable and secure solutions, and collaborate with cross-functional teams while mentoring engineers.
This information is not specified in the job description.
Grammarly fosters trust, innovation, and a strong team culture through in-person collaboration in a hybrid model, with engineers having freedom to innovate and influence the product roadmap.
Strong candidates have senior-level experience in architecting scalable data systems, leading development of data pipelines and data lakes handling massive volumes, and collaborating with cross-functional teams including data science and ML.
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