Job Description

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.

We are more than 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together.

Role description:

Arcadis is seeking a highly skilled and motivated Geospatial & Software Data Developer to join our data-driven engineering and design team. This role focuses on building, maintaining, and scaling custom software tools, geospatial applications, and data-driven workflows for architecture, urban design, planning, and engineering projects.

We work on a broad range of local and international projects for both public and private sector clients. This position is ideal for a candidate with strong software engineering fundamentals, expertise in spatial data systems, and a solid understanding of data science algorithms who can translate complex design and spatial requirements into reliable computational solutions.

Our team offers flexibility regarding location. The successful candidate will have the option to work from any of our offices throughout the United States or remotely.

Role accountabilities:

• Design, build, test, and maintain robust custom software applications, plugins, and internal platforms for diverse engineering and spatial design purposes
• Build, maintain and improve computational workflows and products across the firm
• Engineer seamless data pipelines across varied environments, including GIS platforms, 3D/BIM modeling software, cloud infrastructure, and modern software development toolchains
• Apply data science methodologies, statistical modeling, and machine learning/deep learning algorithms to extract insights from complex spatial, environmental, economic, and demographic datasets
• Continuously maintain, refactor, and improve existing computational workflows, codebase repositories, and data processing architectures
• Clearly communicate complex algorithmic and software concepts to both technical and non-technical audiences using written documentation, technical reports, and visual diagrams
• Collaborate with internal and external clients to understand their needs and develop strategies
• Stay up to date with advances in software engineering, modern GIS frameworks, spatial analytics, and AI/ML applications to keep company workflows cutting-edge
• Create presentation and report materials to support projects
• Build quality relationships with team members and across the organization

Qualifications & Experience:

• Bachelor’s Degree in Computer Science, Data Science, Statistics, Software Engineering, Architecture, Computational Design, Digital Media or related fields (Master’s Degree preferred)
• Strong proficiency in Python (e.g., FastAPI, Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow) and JavaScript/TypeScript (e.g., Node.js, React, or modern web mapping frameworks)
• Experience designing and querying relational/spatial databases (e.g., PostgreSQL/PostGIS) and building ETL/ELT pipelines for complex datasets
• 3+ years of relevant experience in building and maintaining large scale data processing and predictive systems. Knowledge in data mining and analytics methods such as regression, classifiers, machine learning and deep learning algorithms
• Formulate open research problems at the intersection of GenAI, multimodal reasoning, and large-scale information retrieval defining the scientific questions that transform ambiguous, real-world catalog challenges into publishable, high-impact research
• Practical experience or research interest in GenAI, large language models, retrieval-augmented generation (RAG), or AI tools applied to software engineering workflows
• Stay up to date with the research literature and product advances in AI for software engineering 
• Ability to deliver in challenging project timeframes and deadlines
• Excellent verbal, written, and graphic communication skills
• Collaborate across disciplines with teams across organization
• Critical thinking skills to develop innovative solutions

Additional Information:

We request applicants submit a portfolio/Website or GitHub link highlighting relevant software tools, open-source contributions, data science projects, or geospatial applications.

Selected applicants will be asked to present a past project for technical review.

Why Arcadis?

We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.

You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.

Together, we can create a lasting legacy.

Join Arcadis. Create a Legacy.

Our Commitment to Equality, Diversity, Inclusion & Belonging

We want you to be able to bring your best self to work every day. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer. We are dedicated to a policy of non-discrimination in employment on any basis including race, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law.

Arcadis offers benefits for full time and part time positions. These benefits include medical, dental, and vision, EAP, 401K, STD, LTD, AD&D, life insurance, paid parental leave, reward & recognition program and optional benefits including wellbeing benefits, adoption assistance and tuition reimbursement. We offer nine paid holidays and 15 days PTO that accrue per year. The salary range for this position is $90,000- $144,000. Actual salaries will vary and are based on several factors, such as experience, education, budget, internal equity, project and location.

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