Geospatial Data Scientist

2h2 hours ago

AECOM

Baltimore, US · Full-time · $95,000 – $130,000

About this role

AECOM's Water Division seeks a creative, motivated Geospatial Data Scientist with GIS focus for the Baltimore office. The role supports engineering, modeling, and inspection teams by automating ETL processes using Python, R, and SQL. Demonstrate strong technical expertise and problem-solving skills to deliver impactful solutions.

Create and maintain optimal data pipeline architecture while assembling large, complex data sets to meet business requirements. Identify, design, and implement process improvements like automating manual workflows and optimizing data delivery. Maintain infrastructure for ETL from diverse sources using SQL and Azure Big Data technologies for GIS.

Build analytics tools to provide actionable insights, improve efficiency, and track key metrics. Develop custom tools and widgets for ArcGIS Pro and ArcGIS Enterprise. Collaborate with stakeholders to resolve data-related issues and support infrastructure needs.

Join a global team of over 50,000 professionals delivering projects that create positive impact worldwide. With accelerating infrastructure investment, services are in great demand. Bring bold ideas to help solve complex challenges and build legacies for future generations.

Requirements

Bachelor’s degree in GIS, Data Science, Mathematics, or related field
2 years of experience in GIS, data science, data engineering, or cloud programming or demonstrated equivalency
Experience in SQL and database management/development
Experience with ESRI suite including ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, Hubs, Dashboards, Experience Builder, and ArcGIS for Power BI
Experience with Microsoft Power Platform including Power BI, Power Automate, and Power Query
Valid US Driver’s License and pass AECOM's motor vehicle records review
Pass drug screening as condition of employment
Experience with API frameworks such as ArcPy, ArcGIS API for Python, R-ArcGIS, CityWorks API, Flask, and Django

Responsibilities

Ensure seamless adoption of new tools and processes with minimal oversight
Create and maintain optimal data pipeline architecture and assemble large, complex data sets
Identify, design, and implement process improvements such as automating manual workflows and optimizing data delivery
Maintain infrastructure for optimal extraction, transformation, and loading of data from diverse sources using SQL and Azure Big Data technologies
Build analytics tools to provide actionable insights, improve operational efficiency, and track key business performance metrics
Develop custom tools and widgets for ArcGIS Pro and ArcGIS Enterprise
Collaborate with stakeholders to address data-related technical issues and support data infrastructure needs