Senior Geospatial & Data Solutions Analyst (GIS)

Schnabel is an employee-owned, professional engineering and consulting firm that focuses on solving problems related to the earth and environment through specialization in geotechnical, geostructural, tunnel, and dam engineering. Schnabel’s high standards for quality, business ethics, and concern for the communities in which we live are a vital part of who we are. Schnabel is an ENR Top 500 Design Firm with 700+ employees in 30 offices throughout the United States.

Recognized by CE News as one of the Best Engineering Firms to Work for, Schnabel provides employees with a competitive benefits package including maternity leave, tuition reimbursement for continuing education, health, dental, life and disability insurance and a wellness program. As an employee-owned company, through the Employee Stock Ownership Plan, Schnabel employees directly benefit from the success of our growing firm.

Benefit options include:

• Medical insurance
• Dental insurance
• Flexible spending accounts
• Employee life & ADD insurance (100% company-paid)
• Short-term disability (100% company-paid)
• Long-term disability
• Supplemental life insurance
• 401(k) and profit-sharing plan
• Employee stock ownership plan (ESOP)
• Bonus program
• Paid time off
• 9 Paid Holidays
• Wellness program
• Professional development and tuition reimbursement

Job Description:

Our Jersey City, NJ, office is seeking a Senior Geospatial & Data Solutions Analyst to lead, architect, and execute advanced geospatial analytics, application development, data integration and visualization, and enterprise-level data solutions across our engineering and program management practices. In this role, you will collaborate with industry experts at the forefront of innovation, working at the intersection of engineering, geospatial and data solutions, programming, and emerging technologies to deliver impactful engineering and consulting solutions for critical infrastructure. When you join Schnabel, you will be part of a company that values career development, innovation, technical excellence, and collaboration. As an employee-owner, you will have a say in how our business operates and will benefit from our financial success.    

Position Responsibilities: 

Candidate will serve as Senior Geospatial & Data Solutions Analyst. Major focus areas for the role include:

• Lead and support the acquisition, processing, analysis, reporting, and visualization of geospatial and engineering datasets to support engineering and program management projects.
• Design, build, and automate data workflows using Python, scripting tools, and database technologies to integrate data across applications, improve efficiency, and support large data environments.
• Develop, implement, and maintain robust data architecture solutions including establishing data standards, metadata requirements, version control, and QA/QC procedures across multidisciplinary teams.
• Apply data visualization and cartographic principles to produce high-quality visualization products including maps, 2D/3D models, dashboards, and proprietary programs for both technical teams and senior leadership.
• Collaborate with cross-functional teams to define project objectives, requirements, and deliverables, ensuring that geospatial and data solutions effectively support technical needs and broader business goals.
• Mentor and support team members, providing guidance and reviews on data management, visualization, and geospatial best practices.  
• Remain on the front line of industry-leading software and technologies and make recommendations for adoption.

Required Skills and Qualifications:

• Bachelor’s degree in Geomatics, Geography, Computer Science, Data Science, Civil/Environmental Engineering, or a related field.
• 5+ years of proven experience in geospatial analysis, data management, GIS development, and data engineering within the A/E/C industry.
• Strong programming background with practical knowledge of Python, SQL/database management, geoprocessing automation, and API-driven data integration.
• Knowledge of database and database warehouse architecture, enterprise SQL solutions, and modern data visualization frameworks.
• Proficiency in ArcGIS products including ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, and other relevant geospatial software tools.
• Proficiency in developing interactive dashboards using Power BI and ArcGIS Dashboards, including building automated visual analytics that connect to enterprise geodatabases and program-level datasets.
• Demonstrated analytical and problem-solving skills, combined with