Data Platform Engineer

The role

You will build and own the data infrastructure and internal tooling. You will work across ingestion, storage, transformations, and access controls to support engineering, analytics, and business teams.

What you will do

• Build and maintain data pipelines, infrastructure, and internal tools
• Support data transformations, analytical models, and BI workflows
• Manage data access and permissioning
• Improve reliability, performance, and data quality
• Work with teams across the company to understand and support their data needs

Required qualifications

• Experience in data engineering, infrastructure, or backend systems
• Familiar with Kafka, ClickHouse, a data orchestrator such as Dagster or Airflow, and similar technologies
• Comfortable with SQL, data transformations, and permissioning
• Understand how data infrastructure supports BI and analytics
• Take ownership, collaborate well, and adapt to changing requirements
• Excited about our mission and working on a small team

Nice to have

• Have built and operated large-scale, production data systems
• Have experience building internal tools and supporting analytics
• Have worked on a team with strong engineering standards
• Are familiar with AI and its practical applications

Benefits

• 100% covered health insurance
• Daily lunch and dinner
• Visa sponsorships
• 401K plans

About the company

TypeSafe is an AI lab pushing frontier model intelligence in a new direction. They are a small, fast team backed by a $870M Series A led by a16z.