Senior Data Platform Engineer - Predictive Analytics for Real Estate

San Francisco, CA

Posted: 07/23/2018 Industry: Data Engineer Job Number: 23256

Job Description

Category : Data Engineer
Location/City : CA - San Francisco
Area Code : 415
Job Type : 1: Full Time
Country/Locale : USA
Id : 23256

#23256 Senior Data Platform Engineer - Predictive Analytics for Real EstateLocation: San Francisco, CA 94107Company:This company builds products that use data and predictive models to help others make better real estate decisions. There is over $20 trillion dollars in residential real estate in the US, but the data and tools available to builders, investors and appraisers to help them understand the market are lacking when compared to other fields. They empower clients to make better real estate decisions by providing products that leverage the best real estate forecasts, data and visualization tools around - ours. They track thousands of data elements every month, from national factors down to house-level data. Together, they have built the most exhaustive proprietary dataset going back 40+ years. The data is analyzed to pinpoint the driving factors behind market change. Their databases are constantly expanding - great data is required for accurate forecasts.Job Opportunity:We're seeking a passionate senior engineer to help build out the backend data platform powering the most accurate real estate analytics tools in the world.
What you'll do:
-Develop performant and reliable distributed services to address core data platform needs across the company.
-Design solutions that handle and expose large datasets with case-appropriate tradeoffs.
-Create the APIs that power our products.
-Partner with data analysts to implement industry-leading data standardization methodologies.
-Architect resilient ETL pipelines to cleanse, standardize, and process data from numerous sources.
-Collaborate with talented data scientists to optimize and operationalize their reference implementation predictive models for production.
What you have:
-5+ years of software engineering experience.
-A focus on high-performance architecture and code.
-Expertise in Python development.
-Experience and interest in working with data
-Deep understanding of several databases that have different strengths.
-Solid SQL knowledge.
-Comfortable with Linux command line.
-Experience with AWS.
-A strongly proactive approach to improving systems.

Bonus points for knowledge of:

-Real estate markets.
-Geospatial development.
-NumPy, Pandas.

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