Senior Data Engineer - Enterprise
United States
Opendoor
Opendoor is the new way to sell your home. Skip the hassle of listing, showings and months of stress, and close on your own timeline. Get a free offer today!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.
About the teamAs a Senior Data Engineer on the Enterprise Data Platform team, you will be responsible for building customer-facing data products in partnership with our data science and product teams. This is a rare opportunity where your data engineering output will be the shipped product and not just an internal resource. Our customers are businesses operating in the single-family home market and our goal is to provide them with high quality data to inform underwriting, leasing, vendor management, and more. We’re a small team dedicated to quality engineering and are looking for an engineer to help us build our first products and establish best practices.
Role responsibilities
- Architect durable data models with intuitive representations of residential real estate
- Design graceful and reliable workflows to generate data assets
- Inform the overall architecture of our data platform
- Establish standards and best practices for data engineering
- Become a domain expert in real estate
skills needed
- 6+ years of experience working in data engineering or software engineering
- Expertise in data architecture, data modeling, and building data pipelines at scale
- Proficiency in SQL, Python, and/or Spark
- Expertise in cloud data warehouses such as Snowflake, Redshift, BigQuery
- Experience scheduling and operating batch data processing workflows
Bonus points if
- Geospatial data processing
- Airflow, Prefect, Dagster, or a similar orchestration system
- Experience with Inmon, Kimball, or Data Vault data modeling techniques
- Real estate or financial services
#LI-AW2
More About UsTo learn how we are reinventing the Real Estate industry check out our website, to hear about our culture directly from team members visit The Muse and to discover what we are building for our customers read our blog posts.
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 volunteerPlease note that these benefits and perks are available only to Full Time team members and do not apply to contract roles.
Opendoor Values OpennessOur 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.
Tags: Airflow Architecture BigQuery Dagster Data pipelines Engineering Pipelines Privacy Python R Redshift Snowflake Spark SQL
Perks/benefits: Career development Flex hours Flex vacation Health care Medical leave Parental leave Salary bonus
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