Member of Technical Staff, Data Engineer

Position Overview

• Location Type: Remote (North America and Europe)
• Office Locations: NYC, San Francisco, Seattle, and London
• Employment Type: Full-time
• Salary: Not specified

Runway is an applied research company pioneering new tools for human imagination. Runway has been at the forefront of multi-modal AI systems ensuring that the future of media creation is accessible, controllable and empowering for creatives. Runway’s mission is to ensure that anyone anywhere can tell their stories. We believe that deep learning techniques applied to audiovisual content will forever change art, creativity and design tools. Runway is leading a shift to generative media that is unlocking an unprecedented level of creative potential. The invention of the camera 200 years ago forever changed our world – AI is a new kind of camera that will reshape storytelling forever.

Responsibilities

• Own the data pipeline, including the ingestion, storage, transformation, and serving of data.
• Build and optimize ETL processes to ensure data reliability, accuracy, and accessibility.
• Design, implement, and maintain a modern data warehouse architecture using industry best practices.
• Develop data models, tables, and views that empower teams to self-serve their analytics needs.
• Collaborate with ML Engineers, infrastructure engineers, and product managers to identify data requirements, build efficient data delivery systems, and create a unified data foundation that supports both technical innovation and business growth.

Requirements

• 5+ years of industry experience in data engineering, analytics engineering, or similar roles.
• Strong proficiency in SQL.
• Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift).
• Experience designing and implementing ETL/ELT pipelines using tools like dbt, Airbyte, or similar.
• Experience with Python or another programming language for data manipulation and automation.
• Knowledge of data privacy and data security best practices.
• Ability to translate business requirements into technical specifications and data models.

Preferred Qualifications

• Extensive experience with PostgreSQL, including database and performance optimization.
• Hands-on experience supporting ML workflows, including feature engineering and building data pipelines for model training.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and their data service offerings.
• Experience with infrastructure as code tooling (Terraform, CloudFormation) and cloud infrastructure management.
• Experience in a high-growth environment.

Application Instructions

• Not specified - Please refer to Runway's career page for application details.