Geospatial & Software Data Developer

Arcadis•Los Angeles, CA

23h•$90,000 - $144,000

About The Position

Arcadis is seeking a Geospatial & Software Data Developer to join its data-driven engineering and design team. The role focuses on building, maintaining, and scaling custom software tools, geospatial applications, and data-driven workflows for architecture, urban design, planning, and engineering projects. The work supports local and international projects for public- and private-sector clients. The position can be based at any Arcadis office in the United States or performed remotely. The successful candidate will apply software engineering, spatial data systems, and data science expertise to turn complex design and spatial requirements into reliable computational solutions. The role includes building software and data pipelines, applying statistical and machine-learning methods, improving computational workflows, communicating technical concepts, and collaborating with clients and multidisciplinary teams.

Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, Software Engineering, Architecture, Computational Design, Digital Media, or a related field.
Strong proficiency in Python, including tools such as FastAPI, Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow.
Strong proficiency in JavaScript/TypeScript, including tools such as Node.js, React, or modern web mapping frameworks.
Experience designing and querying relational or spatial databases such as PostgreSQL/PostGIS.
Experience building ETL/ELT pipelines for complex datasets.
At least 3 years of relevant experience building and maintaining large-scale data-processing and predictive systems.
Knowledge of data mining and analytics methods, including regression, classifiers, machine learning, and deep-learning algorithms.
Ability to deliver within challenging project timeframes and deadlines.
Excellent verbal, written, and graphic communication skills.
Ability to collaborate across disciplines and teams.
Critical-thinking skills to develop innovative solutions.
Submit a portfolio, website, or GitHub link highlighting relevant software tools, open-source contributions, data science projects, or geospatial applications.
Selected applicants must present a past project for technical review.

Nice To Haves

Master’s degree.
Practical experience or research interest in GenAI, large language models, retrieval-augmented generation (RAG), or AI tools applied to software engineering workflows.

Responsibilities

Design, build, test, and maintain custom software applications, plugins, and internal platforms for engineering and spatial design.
Build, maintain, and improve computational workflows and products across the firm.
Engineer data pipelines across GIS platforms, 3D/BIM modeling software, cloud infrastructure, and software development toolchains.
Apply data science methodologies, statistical modeling, and machine-learning or deep-learning algorithms to complex spatial, environmental, economic, and demographic datasets.
Maintain, refactor, and improve computational workflows, code repositories, and data-processing architectures.
Explain algorithmic and software concepts to technical and non-technical audiences through documentation, technical reports, and visual diagrams.
Collaborate with internal and external clients to understand their needs and develop strategies.
Stay current with software engineering, GIS frameworks, spatial analytics, and AI/ML applications.
Create presentation and report materials to support projects.
Build quality relationships with team members and across the organization.
Formulate open research problems involving GenAI, multimodal reasoning, and large-scale information retrieval, turning real-world catalog challenges into publishable research.
Stay current with research literature and product advances in AI for software engineering.