# Data Engineer, Foundations at Grammarly

- Company: Grammarly
- What the company does: Grammarly makes AI writing convenient. Work smarter with personalized AI guidance and text generation on any app or website. Backed by IVP.
- Company website: https://www.grammarly.com
- Type: Startups (AI role)
- Level: Mid level
- Location: Hub - San Francisco
- Work setup: Remote
- Posted: 2026-09-11
- Apply by: 2026-10-26
- Apply: https://jobs.ashbyhq.com/Superhuman%20Platform%20Inc/18537659-6a5f-447f-8f77-77f16ee1e7f0
- Page: https://www.1752.vc/careers/jobs/grammarly-data-engineer-foundations/

## About the role

To achieve our ambitious goals, we’re looking for a Data Engineer to join our Data Foundations team and help us build a world-class data platform. Superhuman’s success depends on its ability to efficiently ingest and process over 70 billion daily events to improve our products. This role presents a unique opportunity to experience all aspects of building complex data pipelines and systems, including contributing to the strategy, defining the architecture, and developing and shipping to production.

## What they're looking for

- You have 3+ years of experience running live production environments, including high-load or data-intensive workflows, with a focus on uptime and reliability
- You’re proficient in SQL and Python, with deep hands-on experience in Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar)
- You have strong knowledge of ETL/ELT design patterns, orchestration tools (e.g., Airflow, dbt, or Dagster), data quality frameworks, and CI/CD for data with Git-based deployments
- You have data modeling and data warehouse design skills, along with a rigorous approach to data quality and observability
- You have hands-on experience with modern data storage technologies (for example, Delta Lake, Snowflake, BigQuery, or Redshift)
- You communicate clearly and collaborate well across diverse teams and stakeholders, turning business needs into robust data solutions and trustworthy metrics

Tags: Engineering, Product, Design, and...