Wheelhouse
via Greenhouse
Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 118d ago
The date the source published, not the day we noticed it (2026-05-19). Last seen at its source 3h ago.
Is it remote?
United States (Remote)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$156k–180k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 12d ago · last seen 3h ago
The listing
Job Description
We’re looking for someone who:
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.
Requirements
- 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.
- 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."
Why Join Us
- Own the big data pipelines in a fast-growing SaaS company.
- Directly improve the reliability and usability of our product.
- Enjoy the power to shape your own projects and help set the direction for new development.
- Collaborative, small-team environment where your impact is highly visible
Perks and 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!