Data Engineer

🕒 May 19

🇺🇸 United States – Remote

💵 $156k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 7%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Wheelhouse

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

💼 Consulting

📣 Marketing

🏨 Hospitality

💰 $16M Series A on 2022-04

Consulting • Marketing • Hospitality

Wheelhouse is a comprehensive platform designed for scalable hospitality operators, offering advanced and customizable dynamic pricing solutions. It allows users to tailor pricing strategies through a data-driven engine that accommodates various events, seasons, and market conditions. Wheelhouse provides tools for performance analytics, market insights, and detailed pricing control across multiple hospitality listings. Its product suite serves the needs of diverse and evolving portfolios by integrating with existing software and offering an API for enhanced functionality. Wheelhouse is designed to optimize revenue and growth for modern hospitality businesses, available in numerous markets worldwide.

📋 Description

• 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.

🎯 Requirements

• 5+ years of Data Engineering or Backend Engineering experience, specifically dealing with massive, high-velocity datasets • Deep database expertise: Advanced knowledge of relational databases, specifically PostgreSQL and AWS Aurora • Strong programming skills: Proficiency in Ruby and Ruby on Rails • 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."

🏖️ Benefits

• 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!