2 months ago
Remote, United StatesSenior

Base Salary

$147k - $278k/yr

Responsibilities

  • Design and implement geospatial data pipelines, geocoding and matching services, and interfaces between enterprise platforms.
  • Develop, test, document, monitor, and maintain robust, scalable full-stack applications with data-quality validation.
  • Reconcile records across systems with differing identifiers and data models.
  • Apply AI and automation to improve products and development practices.
  • Define shared data contracts, identifier mappings, and integration patterns across platforms and teams.
  • Partner with product and business teams to translate business needs into technical requirements and influence solution decisions.
  • Lead medium-complexity projects, build alignment across stakeholders, and serve as a trusted technical opinion in the product area.
  • Coach less experienced engineers and deliver knowledge-sharing sessions.
  • Establish reusable property and geospatial data capabilities and ship geocoding and matching services adopted by other teams.

Requirements

  • Bachelor’s degree in computer science, software engineering, information technology, geography/GIS, or a related field, or equivalent practical experience.
  • 5+ years of professional software engineering experience with full-stack expertise.
  • Frontend experience with React and modern JavaScript and backend experience with C# and .NET.
  • Experience with GIS data processing, mapping libraries and platforms, spatial databases, and location-based services.
  • Hands-on experience with geocoding frameworks or record matching and deduplication at scale.
  • Experience defining data contracts, identifier mappings, and integration patterns across relational and NoSQL databases.
  • Experience integrating AI capabilities, including familiarity with LLMs, prompt engineering, API integration, and AI coding assistants.
  • Experience with AWS, Azure, or GCP, end-to-end CI/CD setup, and automated testing practices.
  • Ability to work independently on complex problems and build alignment across teams without formal authority.
  • Preferred qualifications include large-scale data matching or shared geocoding services, spatial analysis and cartographic principles, Databricks or similar lakehouse platforms, LLM-powered applications, RAG, vector search, production ML deployments, real estate technology, responsible AI, and cloud, GIS, or AI/ML certifications.

Benefits

  • Remote position available in Chicago, Dallas, New York, or San Francisco.
  • 401(k) plan with matching company contributions.
  • Comprehensive medical, dental, and vision care.
  • Paid parental leave at 100% of salary.
  • Paid time off and company holidays.
  • Early access to earned wages through Daily Pay.
Jones Lang LaSalle Incorporated

About Jones Lang LaSalle Incorporated

10,000+ employees

JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).

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