Staff Research Engineer – R&D

Staff Research Engineer – R&D

This job is no longer open
About Opendoor:  
Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple, certain and fast. We have assembled a dedicated team with diverse backgrounds to support more than 100,000 homes bought and sold with us and the customers who have selected Opendoor as a trusted partner in handling one of their largest financial transactions. But the work is far from over as we continue to grow in new markets. Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one.  So where do you fit in? Whether you’re passionate about real estate, people, numbers, words, code, or strategy -- we have a place for you. Real estate is broken. Come help us fix it.

Opendoor’s entire business is run on data – we use data to power our proprietary pricing models, make critical business decisions, and understand our engineering systems. As a senior data engineer on the research and data science team, you will be responsible for ingesting and transforming data from a wide variety of sources (external vendors, public sources, scraping) to empower downstream users to build better models and make better decisions with data. You will also be responsible for data enrichment pipelines to increase the value of our existing data (e.g. large scale computer vision pipelines to extract structured features from images and satellite data). As Opendoor continues to use data to buy and sell homes, you will ensure that we have data integrity and systematic monitoring in place to ensure we make the right decisions.

Your responsibilities will include:

    • Developing and maintaining scalable data pipelines and building out new integrations with external data sources.
    • Building data enrichment pipelines (e.g. computer vision) to increase the value of our existing data
    • Implementing systems to quantify and monitor data availability, quality, and stability.
    • Partnering with data scientists and product engineers to design our analytical data models and ensure consistent reporting of company metrics.
    • Performing root cause analysis on data logging and ingestion processes to identify opportunities to improve instrumentation and observability.
    • Ensuring that all data components are designed and implemented in compliance with our information security and data privacy requirements
    • Applying expert understanding of data processing technologies to evaluate design tradeoffs

We're looking for teammates who have:

    • 7+ years of experience working with data pipelines, warehouses, and analytics
    • Strong Python programming skills
    • Proficiency with schema design and data modeling
    • Fluency with workflow management tools, like Airflow or dbt
    • Experience with modern data warehouses, like Snowflake or BigQuery
    • BS or MS degree in Computer Science, Engineering, or a related technical field

Bonus points:

    • Experience with computer vision pipelines
    • Experience with modern data warehouses, like Snowflake or BigQuery
    • Familiarity with container platforms, like Docker or Terraform
More About Us:
Want to learn more about us and how we are revolutionizing the home buying and selling process? Learn more about us on our website, check out our profile on The Muse to learn more about our culture from our team members, or read our blog posts to hear about the work we are doing.

We Offer the Following Benefits and Perks:
- Full medical, dental, and vision with optional 85% coverage for dependents
- Flexible vacation policy
- Generous parental leave
- Paid time off to volunteer
Please note that these benefits and perks are available only to Full Time team members and do not apply to contract roles.

Opendoor Values Openness:
Our team celebrates our diverse backgrounds. We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. For California residents: for more information about the categories of personal information that we collect for recruiting purposes, please see our personnel Privacy Policy.

This job is no longer open
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