Senior Data Engineer

• 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

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.

Remote roles in India are available in all territories.   

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Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. 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 and certain. 

• To learn how we are reinventing the Real Estate industry check out our website. 
• Hear about our culture directly from team members by visiting The Muse. 
• Discover what we are building for our customers by reading our blog.

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Opendoor is dedicated to creating an inclusive and collaborative culture. We value the diverse strengths, perspectives, and backgrounds of all our employees, and believe in empowering our teams to do their best work through teamwork and building a sense of belonging and trust. Our four employee-led Opendoor Employee Resource Groups amplify diverse voices and promote collaboration and inclusion. Our focus is on attracting and retaining exceptional talent, and we believe in empowering our employees to continuously innovate and strive for 1% improvement every day. You can find more information on our Career Page.

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