Data Engineer

As a Data Engineer at Grammarly, you'll work closely with the Data Science and Analytics teams to build and maintain scalable data pipelines, analytics infrastructure, and real-time data processing systems. You'll play a key role in empowering Grammarly's data-driven decisions and powering the AI that enables Grammarly's industry-leading writing assistant. Responsibilities: - Design, build, and maintain large-scale data pipelines and infrastructure to ingest, process, and store data from a variety of sources - Develop and optimize data models, data transformation workflows, and data quality processes - Collaborate with data scientists and analysts to ensure data is accessible, reliable, and secure - Proactively identify opportunities to improve data architecture, scalability, and performance - Drive the adoption of best practices, tools, and technologies to enhance data engineering capabilities - Mentor and guide junior data engineers to help them grow their skills Requirements: - 3+ years of experience as a data engineer or in a similar role - Proficient in Python, SQL, and data engineering tools and frameworks (e.g., Apache Spark, Airflow, Snowflake, BigQuery) - Experience in building and maintaining scalable, fault-tolerant, and high-performance data pipelines - Strong understanding of data modeling, data warehousing, and ETL/ELT processes - Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) - Excellent problem-solving and analytical skills - Ability to collaborate effectively with cross-functional teams - Passion for learning and staying up-to-date with the latest data engineering trends and technologies

Grammarly's AI writing partner enables people to communicate confidently and do their best work. Join our team to help shape the future of communication worldwide.