# Senior Data Engineer at Wheelhouse

- Company: Wheelhouse
- What the company does: Boost your rental business worldwide with our comprehensive suite of tools, including dynamic pricing, dynamic sets, performance analytics, and the Navigator tool for geospatial insights. Maximize revenue and streamline operations with our innovative... Backed by NEA.
- Company website: https://www.usewheelhouse.com/
- Type: Startups
- Level: Senior
- Location: United States (Remote)
- Work setup: Remote
- Posted: 2026-05-19
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/wheelhouse/jobs/4697043005
- Page: https://www.1752.vc/careers/jobs/wheelhouse-senior-data-engineer/

## About the role

As a team, we enjoy shipping products our customers love, on time or ahead of schedule, while balancing work/life & having fun together. We’re best described as transparent & collaborative, and we strive to set our teammates up for success - both professionally & personally. We’re a remote-first, work-anywhere, and “yes - you should make time for that adventure/vacation” company, who believes that “healthy hustle” is the key to good growth.

## What they're looking for

- 5+ years of Data Engineering or Backend Engineering experience , specifically dealing with massive, high-velocity datasets (multi-TB scale) and 10+ years overall engineering experience at technology companies
- Deep database expertise: Advanced knowledge of relational databases, specifically PostgreSQL and AWS Aurora. You must know how to tune databases, optimize complex queries, and manage large-scale indexing
- Strong programming skills: Proficiency in Ruby and Ruby on Rails (or a strong willingness to learn, backed by expert-level experience in a similar language like Python) to navigate our core stack
- Job Orchestration: Experience with background processing frameworks at scale (Resque, Sidekiq, Celery, or similar)
- DevOps & Cloud: Hands-on experience with AWS cloud services, infrastructure provisioning (Terraform/CloudFormation), and CI/CD pipelines
- Data Modeling: Strong ability to design data models that balance fast ingestion with efficient application querying

Tags: Engineering