Customer-Facing Data Engineer - Deployments & Pipelines

Rerun; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Cash and equity compensation

Six weeks paid vacation

Hardware provided

Software provided

12 weeks parental leave

Job summary

Rerun is seeking a hands-on, customer-embedded engineer to support a data stack designed for physical AI. You will work with robotics and spatial-AI teams, running multi-month deployments to keep data flowing, surface product gaps, and shape deployments as the company grows.

You will stand up data pipelines, tackle hard data problems in customer environments, and collaborate across teams to keep deployments moving while traveling ~30% to customer sites.

Qualifications

• Strong technical foundation with Python and hands-on data work.
• Experience in data engineering or data platforms, infrastructure or platform engineering, or software with substantial data work.
• Customer-facing: ask probing questions, surface hidden requirements, and coordinate across teams.
• Able to learn fast and work through ambiguity.
• Genuinely energized by understanding someone else’s problem and solving it with them.
• Approximately 30% travel to spend time with customers during deployments.

Responsibilities

• Run technical discovery and scope solutions for customer problems.
• Stand up data pipelines and integrations that get customer data flowing into the platform.
• Solve hard data and infrastructure problems inside customer production environments.
• Coordinate work across internal and customer teams to keep deployments moving.
• Feed recurring issues, patterns, and product gaps back to engineering and product teams.

Skills

Python

Data engineering

Customer-facing

Problem solving

Ambiguity handling

Job description

Rerun is seeking a hands-on, customer-embedded engineer to support a data stack designed for physical AI. You will work with robotics and spatial-AI teams, running multi-month deployments to keep data flowing, surface product gaps, and shape deployments as the company grows.

You will stand up data pipelines, tackle hard data problems in customer environments, and collaborate across teams to keep deployments moving while traveling ~30% to customer sites.