Sr. Staff Data Engineer - Matterport, SF Bay Area

Sr. Staff Data Engineer - Matterport, SF Bay Area

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Job Description

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CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces.  Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. 

We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers.  We’ve continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors.  We continue that effort today and are always working to improve and drive innovation.  This is how we deliver for our customers, our employees, and investors.  By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. 

About Matterport

Matterport is leading the digital transformation of the built world.  Our groundbreaking spatial computing platform turns buildings into data making every space more valuable and accessible.  Millions of buildings in more than 170 countries have been transformed into immersive Matterport digital twins to improve every part of the building lifecycle from planning, construction, and operations to documentation, appraisal, and marketing.

Role Description:
Matterport is looking for a Data Engineer to help accelerate our growth. This role will be responsible for helping build out sitewide tracking architecture on Matterport  and then feeding that data into user-friendly KPI dashboards which track site performance and product usage and provide day-to-day insights into consumer behavior. This individual will help build and deliver the data engineering architecture for Matterport and work across all departments to provide analysis and insights for future growth. You will be part of various aspects of our data management, ranging from designing and maintaining automated data infrastructure and delivering Data engineering and Analytics solutions to facilitating data access and analysis for key company teams.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using Airflow, Snowflake, S3, Databricks, and other AWS services

• Implement and optimize Snowpark jobs, data transformations, and data processing workflows in Snowpipe

• Building and deploying code using Snowpark Python by processing incremental data, orchestrating with Snowflake tasks, and deploying via a CI/CD pipeline

• Understand various data domains and be able to translate them through data transformations to suit various business needs

• Oversee automated data infrastructure: Collaborate with software engineering and product teams to streamline data tracking in our products.

• Ability to integrate data from different sources via cross-domain data stitching into existing data models

• Develop and maintain secure data warehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.

• Hands-on data coding, optimization, and query performance

• Liaise with key company teams (DBA, DevOps, SecOps…) for data accessibility and analysis

• Mentor and manage engineers and analysts in the normal execution of their responsibilities

• Successfully implement software development projects to specification and within scheduled timelines and budget parameters

• Leverage AWS DevOps and CI/CD best practices to automate the deployment and management of data pipelines and infrastructure

 Basic Qualifications

• Bachelor’s degree or equivalent experience in Computer Science, Computer Engineering, Mathematics, or an adjacent field required from an accredited, not-for-profit university or college

• A track record of commitment to prior employers

• Working knowledge of data models within an Enterprise Warehouse

• Advanced SQL, Excel, and Python skills

• 5+ years of data engineering experience

• Familiarity with machine learning concepts, tools, and librar