Data Engineer, San Francisco, CA

On Site Full TimeSan Francisco, California, United StatesHomeLight

We’re building the future of real estate — today. HomeLight is the real estate technology platform powering innovative transactions for top agents, lenders, and their clients. Our technology makes it easier to buy and sell homes, whether that’s enabling clients to buy before they sell, find a top agent, or have certainty through a modern closing process.

Requirements

  • 2+ years of experience in data, software or backend engineering roles
  • Experience applying LLMs and prompt engineering to real-world workflows
  • Strong proficiency in Python for building services, data pipelines and backend systems
  • Experience designing, building, and operating service-oriented architectures and APIs
  • Solid understanding of data modeling, system design, and scalable architecture patterns
  • Hands-on experience with data pipelines and ETL workflows (Airflow or similar)
  • Experience with AI-assisted development tools (e.g., Cursor, Copilot)

Benefits

  • Medical (Aetna or Kaiser)
  • Dental & Vision (Guardian)
  • Long-Term Disability & Short-Term Disability
  • Hospital Indemnity Insurance
  • Accident Plan
  • Employee Critical Illness (Guardian)
  • 401k (Vestwell)
  • Life Insurance (Guardian)
  • Pet Insurance (Nationwide)
  • Commuter benefits
  • PTO, including Volunteer Days
  • Annual Anniversary Perks
  • HomeLight Services

Tagged as:

To apply for this job please visit job-boards.greenhouse.io.


You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!