Senior Data Engineer

February 18

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Opendoor

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Opendoor is a company that simplifies the process of buying and selling homes. Through their platform, homeowners can quickly receive a cash offer and sell their home without the hassle of showings and staging. Opendoor aims to make moving easier by providing a fair price and a seamless selling experience. The company serves a large number of customers, with a new homeowner requesting an offer every 60 seconds. Additionally, Opendoor offers home insights and tools to assist sellers. They work with builders, agents, and vendors to provide a full-service real estate experience.

Real Estate • Technology • Data Science • Design • Operations

1001 - 5000 employees

Founded 2014

🏠 Real Estate

🏪 Marketplace

📋 Description

• Data Platform is on a mission to democratize learning by building systems that enable company-wide analytics and experimentation. • By implementing sufficient instrumentation, designing intuitive data models, and building batch/streaming pipelines, we will allow for deep and scalable investigation and optimization of the business. • By developing self-serve tools, we will empower executives, PMs & engineering leadership to understand company performance at a glance and uncover insights to support decision making. • Finally, by building capabilities such as forecasting, alerting, and experimentation, we will enable more, better, and faster decisions. • Drive direct business impact with executive-level visibility • Design technical architecture and implement components from the ground up as we transition to event-based analytics • Work on the unique challenge of joining a variety of online and offline data sets, not just big data • Learn and grow Data Science and Data Analytics skills (we sit in the same org!) • Opportunity to grow into a Tech Lead/Manager, and mentor junior team members as we quickly grow the team • Partner with infrastructure and product engineers to instrument our backend services and end-to-end user journeys to create visibility for the rest of the business • Design, develop and monitor scalable and cost-efficient data pipelines and build out new integrations with third-party tools • Work with data analysts and data scientists to design our data models as inputs to metrics and machine learning models • Establish the best practices for data engineering • Assess build vs buy tradeoffs for components in our company-wide analytics platform, which will inform decision-making for executives, PMs and Ops, etc.

🎯 Requirements

• BS or MS degree in Computer Science, Engineering, or a related technical field • Strong SQL skills • 5+ years of experience working with event instrumentation, data pipelines, and data warehouses, preferably acting as a data architect in a previous role • Proficiency with systems design and data modeling • Fluency with workflow management tools, like Airflow or dbt • Experience with modern data warehouses, like Snowflake or BigQuery • Expertise breaking down complex problems, documenting solutions, and sequencing work to make iterative improvements • Familiarity with marketing data tech stack • Familiarity with data visualization tools such as Mode, Tableau, and Looker • Familiarity with programming skills, preferably in Python • Familiarity with software design principles, including test-driven development