***** This role is based in San Francisco, CA - Office days are Wed and Thur *****

Who We Are

We’re building the future of real estate — today.

HomeLight is the essential technology platform used by hundreds of thousands of homebuyers and sellers to partner with top real estate agents and win at any step of the real estate journey, whether that’s finding a top agent, securing a competitive mortgage, or ensuring on-time, easy close.

HomeLight facilitates billions of dollars of real estate on its platform every year. Our vision is a world where every real estate transaction is simple, certain, and satisfying for all. Our team breaks barriers every day while staying committed to HomeLight’s goals and core values, which is a crucial element to our shared success.

Who You Are

We are building our Data Engineering team to tackle HomeLight’s diverse data challenges. This position is an excellent opportunity for an engineer that wants to own the development, optimization, and operation of our data pipeline. We collect, processe, and distribute this data to a suite of HomeLight products and teams. You will provide mission-critical data to our algorithms and internal users.

What You’ll Do Here

• Optimize and execute on requests to pull, analyze, interpret and visualize data
• Partner with team leaders across the organization to build out and iterate on team, and individual performance metrics
• Optimize our data release processes, and partner with team leads to iterate on and improve existing data pipelines.
• Design and develop systems that ingest and transform our data streams using the latest tools.
• 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.
• Research, architect, build, and test robust, highly available and massively scalable systems, software, and services.

What You Bring

• 1 to 3 years of Python and ETL experience, preferably Airflow
• Experience writing and executing complex SQL queries
• Experience building data pipelines and ETL design (implementation and maintenance)
• Scrum/Agile software development process.

Bonus points for

• Familiarity with chatgpt, transcription analysis
• Familiarity with AWS, Elasticsearch, Django
• Experience setting up and managing internal API services.
• Experience working on a small team, ideally at a startup.
• Familiarity with the Amazon AWS ecosystem

• Medical (Anthem or Kaiser), Dental & Vision (Guardian)
• Long-Term Disability & Short-Term Disability, Hospital Indemnity Insurance (Guardian)
• 401k (Guideline), Life Insurance (Guardian) & Pet Insurance (Nationwide)
• Commuter benefits are offered in certain locations
• PTO, including Volunteer Days to give back to your community
• Annual Anniversary Perks, including professional development and sabbaticals!
• HomeLight Services to help you with buying and selling your home

The following compensation information is provided to comply with job posting disclosure requirements in Colorado, New York, Washington, and California.
Base Pay Range: $100,000.00 - $150,000.00, base pay will vary depending on several factors, such as the position, location, qualifications of the individual, market conditions, and other operational business requirements.

Let’s chat! 

HomeLight is an equal opportunity employer dedicated to building an inclusive and diverse workforce, providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will provide accommodations during the recruitment process upon request and any accommodation will be addressed confidentially.