Data Engineer

About the Company

Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites.

Responsibilities

• Architect and lead the development of large-scale systems for data pipelines and data lakes handling billions of daily events
• Design and implement solutions for real-time and batch processing that ensure data is available, secure, and scalable
• Make high-level architectural decisions regarding system design, technology choices, and platform evolution
• Collaborate with product, analytics, data science, and ML teams to build tools and frameworks for data-driven workflows
• Work with leadership to devise the technical charter and roadmaps
• Mentor engineers across back-end infrastructure and data engineering disciplines

Requirements

• Experience in large-scale distributed computing systems and data modeling
• Experience managing live production environments and high-load, data-intensive workflows
• Expert proficiency in SQL
• Proficiency in Spark, Kafka, Terraform, and at least one language such as Python, Scala, or Java
• Strong knowledge of ETL/ELT design patterns and orchestration tools like Airflow, dbt, or Dagster
• Hands-on experience with modern data storage like Delta Lake, Snowflake, BigQuery, or Redshift
• Understanding of data governance and privacy regulations (GDPR/CCPA)
• Ability to work independently in fast-paced, results-driven environments

Benefits

• Competitive pay and superior health care
• Ample and defined time off
• Catered lunches, gym, and recreation stipends
• Comprehensive relocation support including visa assistance and relocation bonus