GIS Platform and Data Engineer
Cantor Fitzgerald
About the role
Description
The GIS Platform & Data Engineer supports the ArcGIS Enterprise Administrator through hands‑on engineering across geospatial data management, enterprise data lake operations, DevOps, application development, and automation. This role ensures GIS data products and applications are reliable, secure, scalable, and aligned with corporate real estate needs.
Responsibilities
Geospatial Data Engineering & Data Lake Management
- Design and maintain authoritative geospatial datasets supporting sites, facilities, and portfolio analytics.
- Develop and manage ETL/ELT pipelines integrating enterprise systems into GIS‑ready data products.
- Administer geospatial datasets within the enterprise data lake (e.g., ADLS Gen2), including raw, curated, and consumer zones.
- Implement data quality controls, metadata standards, retention policies, and secure access management.
DevOps, Automation & Application Development
- Develop and maintain CI/CD pipelines for GIS apps and automation scripts (Azure DevOps/GitHub).
- Automate environment promotion and repeatable deployment processes.
- Create automation using Python, PowerShell, and ArcGIS REST API.
- Develop and enhance GIS applications and integrations with enterprise platforms (e.g., BI tools).
- Support monitoring, incident response, and platform reliability improvements.
Qualifications
Required Qualifications
- Bachelor’s degree in GIS, Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
- 4+ years of experience in GIS engineering, data engineering, DevOps, or related discipline.
- Hands‑on experience with ArcGIS Enterprise and service publishing.
- Strong Python scripting and automation skills.
- Working knowledge of Microsoft Azure and enterprise data lake concepts.
Core Competencies
- Geospatial Data Engineering
- Enterprise Data Lake Management
- Azure DevOps & Automation
- GIS Application Development
- Platform Reliability & Troubleshooting
Working Conditions
Normal working conditions with the absence of disagreeable elements.
Note
The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified.
Equal Opportunity Statement
Newmark is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
Requirements
- Hands-on experience with ArcGIS Enterprise and service publishing.
- Strong Python scripting and automation skills.
- Working knowledge of Microsoft Azure and enterprise data lake concepts.
Responsibilities
- Design and maintain authoritative geospatial datasets supporting sites, facilities, and portfolio analytics.
- Develop and manage ETL/ELT pipelines integrating enterprise systems into GIS-ready data products.
- Administer geospatial datasets within the enterprise data lake (e.g., ADLS Gen2), including raw, curated, and consumer zones.
- Implement data quality controls, metadata standards, retention policies, and secure access management.
- Develop and maintain CI/CD pipelines for GIS apps and automation scripts (Azure DevOps/GitHub).
- Automate environment promotion and repeatable deployment processes.
- Create automation using Python, PowerShell, and ArcGIS REST API.
- Develop and enhance GIS applications and integrations with enterprise platforms (e.g., BI tools).
- Support monitoring, incident response, and platform reliability improvements.
Skills
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