Skip to main content

Data Engineer, San Francisco, CA

HomeLight · HomeLight is a real estate platform where users can buy and sell homes.

San Francisco, CA501-1000 employeesPosted 3 days ago
Debt Financing · $40Mraised 5 months agoled by Menlo Ventures, BlackRock, 500 Global

This board only lists companies whose most recent round closed in the last 180 days.

Apply on HomeLight’s site
<p><strong>About HomeLight</strong></p> <p><span style="font-weight: 400;">We are on a mission to empower people to make smarter decisions during one of life’s most important moments: buying or selling their home. By analyzing 40 million+ real estate transactions from 2.5 million agents across the country, we are able to take an unbiased, data-driven approach to match our clients with top-performing real estate agents to meet each of their specific needs. Our algorithm and marketplace solutions guide our clients through every step of the home buying or selling experience. Join us and build our first Data Engineering team and the # destination for home sellers! <a href="https://www.homelight.com/engineering" target="_blank">Learn more about our engineering team!</a></span></p> <p><strong>What You'll Do Here:</strong><strong><br></strong></p> <p><span style="font-weight: 400;">We are building our Data Engineering team to tackle HomeLight's diverse data challenges. This position is an excellent opportunity for an engineer who wants to own the development, optimization, and operation of our data pipeline, which collects, processes, and distributes data to a suite of HomeLight products and teams. You will provide mission-critical data to both our algorithms and internal users, refining our product and identifying new markets. Some projects you will work on:</span><span style="font-weight: 400;"><br></span></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Optimize and execute on requests to pull, analyze, interpret, and visualize data</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Partner with team leaders across the organization to build out and iterate on team and individual performance metrics</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Optimize our data release processes, and partner with team leads to iterate on and improve existing data pipelines.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Design and develop systems that ingest and transform our data streams using the latest tools.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Design, build, and integrate new cutting-edge databases and data warehouses, develop new data schemas and figure out new innovative ways of storing and representing our data.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Research, architect, build, and test robust, highly available, and massively scalable systems, software, and services.</span></li> </ul> <p><strong>What You Bring</strong></p> <ul> <li>2+ years of experience in data, software, or backend engineering roles</li> <li>Experience applying LLMs and prompt engineering to real-world workflows</li> <li>Strong proficiency in Python for building services, data pipelines, and backend systems</li> <li>Experience designing, building, and operating service-oriented architectures and APIs</li> <li>Solid understanding of data modeling, system design, and scalable architecture patterns</li> <li>Hands-on experience with data pipelines and ETL workflows (Airflow or similar)</li> <li>Experience with AI-assisted development tools (e.g., Cursor, Codex, Claude Code)</li> <li>Strong analytical thinking with a bias toward automation and building scalable systems</li> </ul> <p><strong>Nice to Have</strong></p> <ul> <li>Experience building and scaling product features using frameworks like Ruby on Rails or Django</li> <li>Familiarity with AWS to support production applications</li> <li>Familiarity with Elasticsearch or other search technologies for user-facing features</li> <li>Exposure to LLM-powered product use cases (ChatGPT, conversational interfaces, automation)</li> <li>Experience working in a startup or fast-paced environment with high ownership</li> </ul> <p><strong>The Perks</strong></p> <ul> <li>Medical (Anthem or Kaiser), Dental &amp; Vision (Guardian)</li> <li>Long-Term Disability &amp; Short-Term Disability, Hospital Indemnity Insurance (Aflac)</li> <li>401k (Accrue), Life Insurance (Guardian) &amp; Pet Insurance (Nationwide)&nbsp;</li> <li>Commuter Benefits for in-office employees</li> <li>PTO, including Volunteer Days, to give back to your community</li> <li>Annual Anniversary Perks, including professional development and sabbaticals</li> <li>HomeLight Services to help you with buying and selling your home</li> </ul>
Apply on HomeLight’s site

Applications go straight to the employer. VCBacked does not sit between you and the company.

930 more roles posted in the last 48 hours

You are seeing the board after its 48-hour member window. Job Seeker opens that window and sends an alert the moment a role hits — applicants in the first 24 hours land 90 percent of interviews.

Back to all roles at freshly funded companies