Member of Technical Staff, Data Engineer

The Rundown AI, Inc.; New York (NY); Remote; USD 220,000 - 270,000; Full time

Job summary

An innovative company is seeking a Data Engineer to lead the charge in building robust analytics infrastructure. This role is perfect for someone who thrives in a collaborative, fast-paced environment and is eager to work closely with engineering, research, and business teams. You'll own the data pipeline, design modern data warehouse architectures, and develop data models that empower teams. If you have a passion for data and want to make a significant impact, this opportunity is for you!

Qualifications

• 5+ years of experience in data engineering or analytics engineering.
• Strong proficiency in SQL and modern data warehousing solutions.

Responsibilities

• Own the data pipeline, including ingestion, storage, and transformation.
• Build and optimize ETL processes for data reliability and accessibility.

Skills

SQL

Data Warehousing

ETL/ELT Pipelines

Python

Data Privacy

Data Security

Collaboration

Tools

Snowflake

BigQuery

Redshift

dbt

Airbyte

PostgreSQL

AWS

GCP

Azure

Terraform

Job description

About the role

*Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, and London

We're looking for a Data Engineer to help lead Data Engineering and Analytics Runway. We're seeking someone curious and collaborative, who thrives in fast-paced, high-ownership environments. This role will work closely with our engineering, research, and business teams to build out robust analytics infrastructure that powers model training and business insights across the organization.

What you’ll do

• 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

What you’ll need

• 5+ years of industry experience in data engineering, analytics engineering, or similar roles
• Strong proficiency in SQL and 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
• Humility and open mindedness; at Runway we love to learn from one another

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 startup environment or similar fast-paced setting.

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.

There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.

Salary range: $220,000 - $270,000