Geospatial Data Scientist

1h1 hour ago

AECOM

Baltimore, US · Full-time · $105,000 – $145,000

About this role

AECOM's Water Division seeks a creative, motivated Geospatial Data Scientist with GIS focus for its 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 thrive.

Create and maintain optimal data pipeline architecture, assembling large, complex datasets to meet business needs. Identify, design, and implement process improvements like automating manual workflows and optimizing data delivery. Redesign infrastructure for greater scalability and efficiency.

Maintain ETL infrastructure using SQL and Azure Big Data technologies for GIS consumption. Build analytics tools providing actionable insights, boosting operational efficiency and tracking 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. Accelerating infrastructure investment makes this an ideal time to contribute bold ideas.

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
Experience 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 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 including automating manual workflows
Optimize data delivery and redesign infrastructure for scalability
Maintain infrastructure for optimal ETL of data from diverse sources using SQL and Azure Big Data technologies
Build analytics tools to provide actionable insights 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