[Hiring] Data Engineer @Wheelhouse

Role Description

Wheelhouse is a revenue management platform for the $500B+ flex rental space. Our technology empowers short & mid-length stay operators, who manage single-family homes, apartment buildings, and (in some cases) hotels - a broad & massive addressable market. Wheelhouse believes a more flexible & connected world is both inevitable & important, and we build technology to make sure the businesses that enable this lifestyle & society can thrive.

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.

Your mission is to guarantee the reliability, speed, and scale of our data infrastructure. You will be the technical guardian of our multi-terabyte dataset, ensuring that as we grow to track even more listings and add new data sources, our ingestion engine scales gracefully and cost-effectively without missing a beat.

We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine. Working within a Ruby on Rails and Resque environment, backed by AWS RDS Postgres and Aurora as well as Athena, you will ensure our data pipelines are robust, scalable, and highly optimized.

We’re looking for someone who:

• Works independently and takes ownership.
• Thinks in systems.
• Stays calm under pressure.
• Communicates technical concepts clearly.
• Values pragmatism over perfection.
• Is obsessed with observability.
• Is super detail oriented.

What you'll be doing:

• Architect, optimize, and supervise the daily ingestion pipelines that process calendar data for 14+ million listings.
• Tune and scale our AWS RDS PostgreSQL and Aurora databases to handle extreme high-throughput read/write operations and multi-TB storage.
• Optimize background job orchestration to ensure timely and efficient data processing.
• Design and build robust ETL processes to integrate new, complex data sources into our ecosystem.
• Collaborate with application engineers to make diverse versions and aggregations of our data easily accessible to the core application.
• Apply DevOps best practices to maintain and improve our AWS infrastructure, CI/CD pipelines, and infrastructure-as-code.
• Build comprehensive monitoring, alerting, and observability tooling to catch data bottlenecks before they impact the business.

Qualifications

• 5+ years of Data Engineering or Backend Engineering experience, specifically dealing with massive, high-velocity datasets (multi-TB scale).
• 10+ years overall engineering experience at technology companies.
• Deep database expertise: Advanced knowledge of relational databases, specifically PostgreSQL and AWS Aurora.
• 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).
• 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.
• Problem Solver: A track record of identifying performance bottlenecks in complex distributed systems and implementing elegant solutions.
• Remote DNA: Demonstrated ability to work autonomously, communicate asynchronously, and manage your own "healthy hustle."

Requirements

• Ability to architect and optimize data ingestion pipelines.
• Experience in tuning and scaling databases for high-throughput operations.
• Proficiency in optimizing background job orchestration.
• Experience in designing and building ETL processes.
• Ability to collaborate effectively with application engineers.
• Knowledge of DevOps best practices.
• Experience in building monitoring and observability tools.

Benefits

• The expected base salary range for this position is between $156,000 and $180,000 depending on experience.
• Competitive salary, cash bonus potential, and equity.
• Full medical, dental, and vision benefits for each US employee.
• Fidelity 401k available for each US employee.
• Unlimited PTO.
• And…more!