Geospatial Data Scientist

Position Overview

AECOM’s Water Division in Baltimore, Maryland is seeking a creative, motivated, and highly talented Geospatial Data Scientist with a focus on Geographic Information Systems (GIS). In this role you will support engineering, modeling, and inspection teams by automating ETL processes using Python, R, and SQL. You will ensure optimal data pipeline architecture and develop analytical tools that drive actionable insights.

Key Responsibilities

• Ensure the seamless adoption of new tools and processes with minimal oversight.
• Create and maintain optimal data pipeline architecture; assemble large, complex data sets to meet business requirements.
• Identify, design, and implement process improvements, including automating manual workflows and optimizing data delivery.
• Maintain ETL infrastructure for data extraction, transformation, and loading using SQL and Azure Big Data technologies for GIS consumption.
• Build analytics tools and develop custom widgets for ArcGIS Pro and ArcGIS Enterprise to provide actionable insights.
• Collaborate with stakeholders to address technical data issues and support evolving data infrastructure needs.

Required Qualifications

• Bachelor’s degree in GIS, Data Science, Mathematics, or a related field.
• Minimum of 2 years’ experience in GIS, data science, data engineering, or cloud programming (or equivalent).
• Proficiency in SQL and database management/development.
• Experience with the ESRI suite, including ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, Hubs, Dashboards, Experience Builder, and ArcGIS for Power BI.
• Experience with Microsoft Power Platform (Power BI, Power Automate, and Power Query).
• Valid US Driver’s License and ability to pass motor vehicle records review and drug screening as required.

Preferred Qualifications

• Experience with API frameworks such as ArcPy, ArcGIS API for Python, R-ArcGIS, CityWorks API, Flask, and Django.
• Hands-on experience in ETL processes and automation.
• Proficiency in scripting and programming in Python and/or R.

Benefits & Perks

• Competitive Compensation: Offered based on location and individual qualifications with an expected range of $62,895.00 - $93,600.00.
• Comprehensive Benefits: Medical, Dental, Vision, Life, AD&D, disability coverage, and prescription drug plans.
• Paid Time Off: Vacation/paid time off, paid holidays, sick days, and maternity/paternity leave.
• Additional Perks: 401K, performance bonus, subsidized commuting, on-site cafeteria, employee events, professional development, gym memberships, and more. (Please note: Sponsorship for US Employment Authorization and relocation assistance are not available.)