Hybrid Software Engineer, Data Platform

at Grammarly

• Job title: Software Engineer, Data Platform
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: $220,000 - $270,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Amazon Redshift, BigQuery, ETL, Java, Kafka, Python, Scala, Spark, SQL, Terraform
• Location requirements: Hybrid, New York City, United States

About the role

• Senior Engineer building a world-class data platform at Grammarly, handling billions of events daily and driving technical initiatives across teams.

Responsibilities

• Architect and lead the development of large-scale systems for data pipelines, data lakes that handle billions of daily events.
• Design and implement solutions that ensure data is available, secure, and scalable across the platform, enabling real-time and batch processing.
• Make high-level architectural decisions about system design, technology choices, and platform evolution, ensuring scalability and long-term sustainability.
• Collaborate with key stakeholders, such as product teams, data engineers, back-end developers, and ML engineers, to build tools & frameworks that power analytics, product features, and data-driven workflows.
• Work with business stakeholders such as Analytics Eng, Data Science teams to build high-impact data products enabling business-critical features, research, and experimentation with a focus on efficiency and alignment.
• Collaborate with Leadership in devising the charter and technical roadmaps.
• Mentor engineers across back-end infrastructure and data engineering disciplines, fostering a culture of collaboration and technical excellence.

Requirements

• Brings at least 10 years of experience in large-scale distributed computing systems, with expertise in both data engineering and data modeling.
• Has 5+ years of experience managing live production environments, including high-load systems or data-intensive workflows with a focus on uptime and reliability.
• Expert in SQL and proficient in technologies like Spark, Kafka, Terraform, and in at least one programming language commonly used for data engineering (e.g., Python, Scala, or Java).
• Strong knowledge of ETL/ELT design patterns, orchestration tools (e.g., Airflow, dbt, Dagster), and data quality frameworks.
• Ability to design scalable, secure, and maintainable data models and architectures, and understanding of data governance, privacy regulations (GDPR/CCPA).
• Hands-on experience with modern data storage technologies (e.g., Delta Lake, Snowflake, BigQuery, Redshift).
• Is a strategic thinker, able to evaluate whether to build internally or leverage third-party solutions, ensuring the right balance between speed, scalability, and long-term viability.
• Is an excellent communicator and collaborator, able to work across diverse teams and stakeholders, translates business needs into robust data solutions, and ensures alignment on technical goals.
• Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.
• 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.

Benefits

• 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