Senior Geospatial Data Engineer
Remote
Urbint
Urbint uses artificial intelligence to predict threats to workers and critical infrastructure and stop incidents before they happen.Hiring in the US and Canada Only
At Urbint, our mission is to make communities more resilient. We do this by pairing external data with artificial intelligence to identify areas of high risk and prevent catastrophic loss for utilities and infrastructure operators across the country. We are a team of close-knit engineers, entrepreneurs, and data geeks who obsess over problem-solving, new technologies, and making a positive impact in our communities.
Job Summary
As a Senior Geospatial Data Engineer, you will apply your skills with modern mapping and geospatial data management technologies to help collect, curate, enhance, and publish Urbint’s growing Model of the World. You’ll use tools like Esri ArcGIS Enterprise, Safe Software Feature Manipulation Engine (FME), PostGIS, GeoServer, H3 grids, and MapBox to help Urbint make best use of geospatial data across our product, engineering, and customer success teams. You’ll analyze geographic data to identify key insights, help our engineering and customer success teams present results in our products or to our customers via beautifully designed, functional, and interactive map displays.
We encourage people from underrepresented groups to apply.
Requirements
- Proven record in managing large-scale geospatial data, including storage, processing, transformation, and publishing for use in various common formats
- Understand how to tackle performance concerns on geospatial processing or analysis in a production environment
- Design, build, and maintain data pipelines, databases, and applications that focus on geospatial information, data science, and map-based visualization of model results
- Know how to publish high-volume geospatial data for secure, efficient, scalable display in Urbint or 3rd party applications
- Assist analytics and data science team members in building and optimizing ML models that include geospatial data
- Own the architecture for Urbint’s curated Model of the World, controlling the quality, currency, security, reliability, and publication of geospatial data for use by all Urbint applications and AI models
- 5+ years experience in one or more of the following areas:
- Consuming, processing, and publishing geospatial data from/to sources and formats typical in the utility industry, including WMS/WFS, SHP/GDB, ArcSDE, GeoJSON, GeoHash, GeoTiff, ArcGIS REST, FME, and others
- Integrating with and presenting data in the ESRI ArcGIS platform
- Use of geospatial tools and libraries such as PostGIS, Geoserver, MapBox, GDAL/QGIS, FME, Geopandas, and the ESRI ArcGIS ecosystem
- Experience working closely with product and account support personnel to help prioritize the best solutions to problems that involve geospatial data
- Reliable organization and communication skills and follow through on verbal and written commitments
- Persistent approach to problem-solving and ability to see solutions through to completion even in the face of complexities or unknowns. A proactive mindset that drives you to pursue solutions rather than waiting for the answers to come to you.
- Attention to detail in work and ability to identify ambiguities in specifications.
- Exceptional written and verbal communication skills, especially when communicating trade-offs between technical decisions to non-technical colleagues.
- Flexibility to work and maintain focus in an evolving environment. Ability to let go of previous projects and move on to new ones or to dig deeper into existing projects and grow them depending on the business needs.
Benefits
- Mission Driven - Some companies use AI to serve better digital ads and trade stocks, we seek to make our communities safer and more resilient.
- Top Compensation - Competitive compensation package.
- Best in Class Medical Coverage - 100% benefits and premiums paid.
- Health Perks - Wellness reimbursement
- Shared office space reimbursement
- Weekly lunch stipend
- Remote work monthly stipend
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Tags: Data management Data pipelines Engineering Machine Learning ML models Pipelines Security
Perks/benefits: Career development Competitive pay Gear Health care Home office stipend Wellness
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