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Spatial Data Science Jobs in Portland, OR (NOW HIRING)

... data movement, memory management, and device interfaces. * Architect and deliver performance ... BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a ...

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Spatial Data Science information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do spatial data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for spatial data science in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

What are the key skills and qualifications needed to thrive as a spatial data scientist, and why are they important?

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

What is the difference between Spatial Data Science vs Geospatial Analyst?

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.

What are popular job titles related to Spatial Data Science jobs in Portland, OR?

For Spatial Data Science jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Spatial Data Science jobs in Portland, OR look for?

The top searched job categories for Spatial Data Science jobs in Portland, OR are:

What cities near Portland, OR are hiring for Spatial Data Science jobs?

Cities near Portland, OR with the most Spatial Data Science job openings:

Infographic showing various Spatial Data Science job openings in Portland, OR as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Instrumentation & Controls Engineer

SSOE, Inc.

Hillsboro, OR • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

Overview
Within SSOE's Advanced Technology division, we specialize in high-tech facility design, offering top-tier design and engineering services to a diverse array of clients and markets. Our team is composed of highly skilled and knowledgeable professionals who excel across various disciplines. We pride ourselves on our cross-disciplinary approach, which allows us to understand and address our clients' needs more comprehensively than traditional, siloed methods. What sets us apart is our ability to seamlessly conceptualize, plan, and detail every aspect of design. Our in-house experts collaborate closely, optimizing and enhancing our work through multi-discipline strategy sessions. By leveraging cutting-edge techniques and state-of-the-art software, we deliver industry-leading technology and innovative solutions from day one.
The Instrumentation and Controls Engineer will support design and delivery of complex facilities in the Semiconductor / Advanced Technology market, with a focus on cleanroom environments, fab support systems, and advanced manufacturing infrastructure. This role develops control system concepts, instrumentation selections, sequences of operation, and coordinated construction documents using AutoCAD and Revit, while working closely with project managers, discipline leads, clients, and contractors. The engineer will review design changes, manage technical risks, support QA and QC checks, and help ensure constructability, safety, and operational reliability from early design through commissioning and startup. Success in this role requires strong technical judgment, clear communication, and a collaborative approach in a fast-paced global project environment.
AI and Innovation
At SSOE, we don't just talk about the future, we build it. As a leader in industry AI adoption, we empower our team to work smarter by providing responsible access to the industry leading AI Large Language Models, vibe-coding platforms, and securely integrating advanced tools into every role. From day one, you'll receive the training and support needed to leverage AI as a core tool for enhancing productivity, sparking creativity, and streamlining complex workflows.
Responsibilities
  • Develop instrumentation and controls design solutions for cleanrooms, fab facilities, and advanced manufacturing support systems across conceptual, schematic, design development, and construction document phases.
  • Prepare design calculations, equipment and device schedules, control narratives, sequences of operation, I/O lists, and related technical documentation for building and process support systems.
  • Create and coordinate drawings and models in AutoCAD and Revit, including plans, details, sections, risers, and coordinated layouts for control devices, panels, and associated infrastructure.
  • Support integration of controls for HVAC, cleanroom pressure management, exhaust systems, process utilities, alarms, monitoring systems, and other facility automation interfaces.
  • Coordinate with architectural, mechanical, electrical, process, and fire protection teams to resolve spatial conflicts, interface requirements, and system dependencies early in the design process.
  • Participate in internal reviews, QA and QC checks, and interdisciplinary coordination meetings to ensure technical accuracy, code compliance, and alignment with project intent.
  • Review vendor submittals, product data, shop drawings, and equipment information to confirm compliance with design requirements and project specifications.
  • Respond to RFIs, review proposed field changes, and support formal change control by assessing technical impact, constructability, cost, and schedule implications.
  • Conduct site walks, observe installation progress, verify field conditions, and support punch list resolution, testing, and commissioning activities during construction administration and startup.
  • Coordinate directly with clients, contractors, and vendors to clarify requirements, resolve issues, and maintain project momentum through timely communication and follow-up.
  • Identify design risks, safety concerns, and operational constraints, and recommend practical solutions that support reliable and maintainable facility performance.
  • Mentor junior team members by reviewing drawings, sharing technical guidance, and supporting consistent design practices across project teams.

Qualifications
  • Bachelor's degree in Instrumentation Engineering, Electronics and Instrumentation, Control Systems, Electrical Engineering, or a closely related field.
  • Minimum of 5+ years of experience in instrumentation and controls design for industrial, high tech, semiconductor, pharmaceutical, life sciences, or similarly complex facilities.
  • Strong working knowledge of cleanroom and fab support systems, including monitoring and control of HVAC, pressure relationships, temperature, humidity, airflow, alarms, and process utility interfaces.
  • Proficiency with AutoCAD and Revit for preparing and coordinating engineering drawings and models; experience with other controls design or documentation tools is a plus.
  • Ability to prepare accurate control narratives, sequences of operation, I/O lists, design calculations, and coordinated construction packages.
  • Experience supporting design reviews, submittal reviews, RFIs, field coordination, commissioning, and startup activities on deadline driven projects.
  • Strong written and verbal communication skills, with the ability to work effectively with stakeholders, contractors, clients, and multidisciplinary teams.
  • Demonstrated ownership, attention to detail, and a collaborative mindset.
  • Ability to mentor junior staff, manage multiple priorities, and contribute to quality focused project execution in a deadline driven environment.
  • Salary Range: $80,000 - $130,000/year depending on location, education, depth of relevant experience, and any specialized licensure/certifications. Opportunity for ample rewards, leadership incentive components, and generous bonus opportunities.
  • Benefits: Includes comprehensive health, dental, and vision insurance, life insurance, 401K retirement savings plan (with company matching), opportunities for professional development and training (including support for relevant licensure & certifications), and generous PTO & paid holidays.

Join us at SSOE, where your expertise will thrive in a dynamic, collaborative environment dedicated to pushing the boundaries of design and engineering excellence. Our company culture is built on collaboration, innovation, and a commitment to excellence. We believe in fostering a dynamic and inclusive environment where every team member can thrive. If you're passionate about innovation and eager to make a significant impact, we invite you to apply and become a part of our forward-thinking team.
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