Senior Geospatial Engineer (Open Source)

Posted 14 Days Ago
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Hackberry, AZ
Senior level
Real Estate • PropTech
The Role
The Senior Geospatial Engineer will develop data ingestion and processing pipelines for Location Intelligence data products, automate data acquisition, and enhance spatial analytics capabilities. Focusing on collaboration, problem-solving, and technical guidance, they will ensure high-quality data workflows and support operational needs.
Summary Generated by Built In

At CoreLogic, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

CoreLogic is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At CoreLogic, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description:

The Senior Geospatial Data Engineer is responsible for engineering the data ingest, processing, and delivery pipelines used for producing state-of-the-art, consistent, and connected proprietary Location Intelligence data products for our clients. If selected for this role, you will work within a hybrid-remote team to operationalize our hazard risk algorithms, automate data acquisition processes, and develop new techniques to derive spatial analytics from CoreLogic’s unique property and geospatial data assets.

 

A successful Senior Geospatial Data Engineer has a passion for geospatial information and analytics, is extremely well-versed in development and infrastructure practices of the modern open-source and cloud based geospatial engineering stack. He/she exhibits ownership of the data workflows and underlying spatial science algorithms they are responsible for. This individual should be a team player who is comfortable working side by side with GIS Analysts, Product Managers, and Engineering teams to support both operational and research efforts within the organization.

 

This role requires excellent critical thinking skills, Python, PostGIS and Big Query spatial skills, and the ability to learn or integrate additional technologies as needed. Above all, we look for candidates that have a helpful, can-do attitude, with excellent communication and collaboration skills.

Job Responsibilities

  • Design, code, test and debug complex spatial data transformations, and orchestrate them in data pipelines in order to satisfy customer requirements, both internal and external.

  • Develop detailed specifications from which applications will be written, designed, coded, tested and debugged.

  • Provide technical guidance on a wide range of systems/projects and mentor less experienced team members.

  • Collaborate with QA team and other developers to develop testing methods and processes. May also perform testing.

  • Make recommendations on and influence engineering processes and methods based on client feedback.

  • Provide operational support to diagnose and resolve incidents in production systems.

  • Research, evaluate, recommend, and apply new and alternate technologies and platforms.

Job Qualifications:

  • 6+ years of experience in an operational spatial development environment.

  • Bachelor's Degree

  • Strong technical skillset in Python or comparable languages

  • Experience developing in Google Cloud Platform (GCP) and BiqQuery (Spatial)

  • Experience with programming in PostGIS and PostGres databases

  • Experience with writing spatial data analysis and transformation code in Python using geospatial libraries such as geopandas, shapely, GDAL

  • Experience with GDAL tools to manipulate spatial data

  • Experience with orchestrating data pipelines using Python. AirFlow knowledge is nice but not a must (can be taught)

  • Comfortable working in a Linux environment

  • Experience using source control systems, e.g. GitHub, and in a CI-CD enabled environment

  • Data visualization and analysis using QGIS

  • Use skills as an experienced professional to work on all phases of development within broadly assigned technical discipline.

  • Able to translate conceptual ideas into projects and tasks

  • Able to translate business needs to technical requirements

  • Driven to excel in areas of technical expertise and expand base of knowledge

  • Customer oriented: experience meeting individual commitments, working with the team to achieve team commitments, responding to requests in a timely manner, and possess a willingness to help.

  • Experience supporting clients, understanding problems, and providing solutions.

Annual Pay Range:

92,000 - 125,000 USD

CoreLogic benefits information can be found here: http://www.yourcorebenefits.com/. Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from any posted range. 

CoreLogic's Diversity Commitment:

CoreLogic is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package.  We are better together when we support and recognize our differences.

EOE AA M/F/Veteran/Disability:

CoreLogic is an Equal Opportunity/Affirmative Action employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. CoreLogic maintains a Drug-Free Workplace. 

Please apply on our website for consideration.

Privacy Policy - http://www.corelogic.com/privacy.aspx

By providing your telephone number, you agree to receive automated (SMS) text messages at that number from CoreLogic regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.

Connect with us on social media! Click on the quicklinks below to find out more about our company and associates.

Top Skills

Python
The Company
Pacifica, CA
4,880 Employees
On-site Workplace
Year Founded: 2010

What We Do

With boundless passion and commitment, our 5,000+ team members share a singular focus: to help millions of people find, buy, and protect the homes they love. As a leading provider of gold standard data, analytics and platforms, CoreLogic enables real estate professionals, financial institutions, insurance carriers, government agencies and other housing market participants to help people make their dream of homeownership a reality.

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